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Paper Citation Record · LEDGER

LitLLMs, LLMs for Literature Review: Are we there yet?

As of 23 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 8 inbound Pith citation observations for arXiv:2412.15249.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.15249 v2

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:26:53.048015Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:45:08.684361Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T11:28:04.342087Z

Reference resolution

86 of 86 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved63
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a509bdc-a5af-4b16-a25f-1a4c5c8aeb6f · outbound

This paper cites Sanity checks for saliency maps.

LitLLMs, LLMs for Literature Review: Are we there yet? Sanity checks for saliency maps

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.816360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.816360Z digest=sha256:09800292fc1515b0f3db3bfc044ba784c0bf307d015e13de2a998a48904cc275

Observation 293f84ef-6f46-4538-a4f1-54d7b5de60fa · outbound

This paper cites LitLLM: A Toolkit for Scientific Literature Review.

LitLLMs, LLMs for Literature Review: Are we there yet? LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.819651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.819651Z digest=sha256:62428b73014f15e94e17fcf90ebaad7541f5d25dbd6706e4ee610e66971fdaa9

Observation ac5d673c-616c-4d0f-ba76-3b3110d14f79 · outbound

This paper cites Introducing ai2 scholarqa, 2025.

LitLLMs, LLMs for Literature Review: Are we there yet? Introducing ai2 scholarqa, 2025

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.823688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.823688Z digest=sha256:7cfe3c35d6c81e9822d342c55be7a8b85afee4b780aa4d9a1ad741dcfc5ced0d

Observation 6c2ce74c-e679-498e-9546-be89cf5b99ec · outbound

This paper cites The falcon series of language models: Towards open frontier models.

LitLLMs, LLMs for Literature Review: Are we there yet? The falcon series of language models: Towards open frontier models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.826504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.826504Z digest=sha256:379ae4ec5122c329535527a53d38dc235fab4ba87f55f7d806c7071a80e961f6

Observation c092eb2b-5ed6-4d97-a5b9-a4ee8b98477b · outbound

This paper cites Exploring the boundaries of reality: Investigating the phenomenon of artificial intelligence hallucination in scientific writing through chatgpt references.

LitLLMs, LLMs for Literature Review: Are we there yet? Exploring the boundaries of reality: Investigating the phenomenon of artificial intelligence hallucination in scientific writing through chatgpt references

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.828631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.828631Z digest=sha256:fe16925f6658b74f61e3125e76bd25fc86a6dac82b7254f0719a8338ee8d1539

Observation e938c95a-16fb-42e6-8789-556252fde76e · outbound

This paper cites MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens.

LitLLMs, LLMs for Literature Review: Are we there yet? MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.832011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.832011Z digest=sha256:099447e39e52b97af428b08cf7f78d5bfe6fa8bc04916d54727d0006bbc6fe44

Observation 88d431eb-3b3e-41c0-8478-cbc338208ca1 · outbound

This paper cites S ci BERT : A pretrained language model for scientific text.

LitLLMs, LLMs for Literature Review: Are we there yet? S ci BERT : A pretrained language model for scientific text

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.836357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.836357Z digest=sha256:717483c385d9388867b2a293afee0c5e8a6b8e003ab5c2d1972f8154f44c6249

Observation 1c4771a8-38a2-4343-b833-0db62a6e65ca · outbound

This paper cites Nougat: Neural optical understanding for academic documents, 2023.

LitLLMs, LLMs for Literature Review: Are we there yet? Nougat: Neural optical understanding for academic documents, 2023

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.838363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.838363Z digest=sha256:1cd500fa22ee28adc4cffc21eb21f1380327379d8a4aae73aee1683911b57a1b

Observation 38b70321-9fa7-4024-86ca-e841be3eefca · outbound

This paper cites Language Models are Few-Shot Learners.

LitLLMs, LLMs for Literature Review: Are we there yet? Language Models are Few-Shot Learners

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.840758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.840758Z digest=sha256:dcce05fe7c8b92b449382c1d31b347df3ece2be0dedb019e6c86d61a2750fdb5

Observation e9ad3509-b806-4f39-a7d3-e040b4b623e9 · outbound

This paper cites TLDR : Extreme summarization of scientific documents.

LitLLMs, LLMs for Literature Review: Are we there yet? TLDR : Extreme summarization of scientific documents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.843471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.843471Z digest=sha256:71b18a5d7fc59086642b2d0e605c2741d91da00a3d9c737aafbee0eded4af4cb

Observation f57fd5ef-87dc-49bb-a944-ffddf6371b01 · outbound

This paper cites S ci XG en: A scientific paper dataset for context-aware text generation.

LitLLMs, LLMs for Literature Review: Are we there yet? S ci XG en: A scientific paper dataset for context-aware text generation

Reference 11

Resolution
verified exact
doi, observed 2026-08-11T15:26:53.229378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.845858Z digest=sha256:708a969922d1a73709089fd341d6b1f7d2d59d718018b75071bdad17a6cccd21

Observation 1a60ec14-3004-4a42-9bae-8d4120b24ebb · outbound

This paper cites Capturing relations between scientific papers: An abstractive model for related work section generation.

LitLLMs, LLMs for Literature Review: Are we there yet? Capturing relations between scientific papers: An abstractive model for related work section generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.848400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.848400Z digest=sha256:9dcf1752c20e645108cb0fb1c224143240fa67d5f02551d029c55777e4aecf27

Observation 670debc4-cb87-45f3-a7ae-1e66838f9680 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

LitLLMs, LLMs for Literature Review: Are we there yet? Scaling Instruction-Finetuned Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.850879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.850879Z digest=sha256:797d33f250ef68ff3e45b06b2ef4a85cfbe2d553b960e89358e5456701687fe3

Observation 883f8122-96ce-4a91-8641-e2713d019e16 · outbound

This paper cites A discourse-aware attention model for abstractive summarization of long documents.

LitLLMs, LLMs for Literature Review: Are we there yet? A discourse-aware attention model for abstractive summarization of long documents

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.854398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.854398Z digest=sha256:98a80c76bf351b7ead727c26d40c5362cd567ed0b08e39963ba684e9059f6a88

Observation d11b4062-3d24-4e01-b504-b556772b4ccc · outbound

This paper cites SPECTER: Document-level Representation Learning using Citation-informed Transformers.

LitLLMs, LLMs for Literature Review: Are we there yet? SPECTER: Document-level Representation Learning using Citation-informed Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.856850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.856850Z digest=sha256:5fcc45a6a2b0772d4545190024bf8f1ffdd85d485b2cf1252e6be419aef574f0

Observation eb5e4803-2629-450a-8fc4-ff78ba8c1bee · outbound

This paper cites ContextCite: Attributing Model Generation to Context.

LitLLMs, LLMs for Literature Review: Are we there yet? ContextCite: Attributing Model Generation to Context

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.860094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.860094Z digest=sha256:edb7df1b1549ac419dec43ae0ff58ec5155fd4fd34a87b2e5f45689a86319b1e

Observation 7b666872-a735-469e-8209-563560bff747 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

LitLLMs, LLMs for Literature Review: Are we there yet? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.863512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.863512Z digest=sha256:a5113a7ed8356dfc28563843a83ad9c510ae187a8ffe2d6e3107303258794141

Observation c843da7e-6cd2-4a36-8415-064c168b0727 · outbound

This paper cites Lexrank: Graph-based lexical centrality as salience in text summarization.

LitLLMs, LLMs for Literature Review: Are we there yet? Lexrank: Graph-based lexical centrality as salience in text summarization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.866077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.866077Z digest=sha256:89ff6fe98626b2e7c9328e004849beeae2a012993f54ff1970d933a3c177228a

Observation a7802f83-5cc0-429d-a48a-a0144e4397dd · outbound

This paper cites Fong and Andrea Vedaldi.

LitLLMs, LLMs for Literature Review: Are we there yet? Fong and Andrea Vedaldi

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.695252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.868287Z digest=sha256:74da6896300901873585a36e4bad22b9802b9bb9dab82fcc843e8ff97617025e

Observation f5c65cba-dd87-492d-8dc3-8452ed33bad6 · outbound

This paper cites CiteBench: A benchmark for Scientific Citation Text Generation.

LitLLMs, LLMs for Literature Review: Are we there yet? CiteBench: A benchmark for Scientific Citation Text Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.871417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.871417Z digest=sha256:9109f03bd25c6900e41e9b5bbc439b787a865593483890103cfe3cc04cc7f074

Observation 33b3516d-c34c-41f0-9ccc-8b932b109523 · outbound

This paper cites Enabling Large Language Models to Generate Text with Citations.

LitLLMs, LLMs for Literature Review: Are we there yet? Enabling Large Language Models to Generate Text with Citations

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.874614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.874614Z digest=sha256:6f1711f34ff1d0871bbc66afed70e145bc76bb84cdcbf815a870a7f3ac63fd1e

Observation 2081557a-4606-4dd8-b847-ba99738df7b6 · outbound

This paper cites End-to-end content and plan selection for data-to-text generation.

LitLLMs, LLMs for Literature Review: Are we there yet? End-to-end content and plan selection for data-to-text generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.877980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.877980Z digest=sha256:d2d558a025d607d62f634e5e13e2b33ed07598409325945d45d777ff779cebbb

Observation e82f74ed-cbac-42f7-8156-9a6c1f93a117 · outbound

This paper cites Interpretation of neural networks is fragile.

LitLLMs, LLMs for Literature Review: Are we there yet? Interpretation of neural networks is fragile

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.687883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.881172Z digest=sha256:facfd35a4e9ec62667e4b6a78302489d846a177dad649f44ac2058253553dc01

Observation 13a54d08-e622-481e-8faf-dea0cc00f0a2 · outbound

This paper cites Towards an AI co-scientist.

LitLLMs, LLMs for Literature Review: Are we there yet? Towards an AI co-scientist

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.884351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.884351Z digest=sha256:db8bd44c9b8df9e181aa99d3f2a71c64d82f4f40de430b5e3f228134ed1540f0

Observation ee338400-b8a5-420d-bac4-630dbd04aa69 · outbound

This paper cites L ong T 5: E fficient text-to-text transformer for long sequences.

LitLLMs, LLMs for Literature Review: Are we there yet? L ong T 5: E fficient text-to-text transformer for long sequences

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.887844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.887844Z digest=sha256:c01fde169025717c7d95ca918d2588b6f9f1c03a7434d81ba2b76ea210194e99

Observation 9bb0c869-ee45-4e46-8399-bf3efceb4678 · outbound

This paper cites Llama 2 is about as factually accurate as gpt-4 for summaries and is 30x cheaper, Aug 2023.

LitLLMs, LLMs for Literature Review: Are we there yet? Llama 2 is about as factually accurate as gpt-4 for summaries and is 30x cheaper, Aug 2023

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.681396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.891561Z digest=sha256:7d041eaa570fe19e52477cf2c2090d012d69eac0825fadaf984e3b3e14d9e88c

Observation 971ff9c7-7c7f-4772-af4e-0a21476ade73 · outbound

This paper cites On the attribution of confidence to large language models.

LitLLMs, LLMs for Literature Review: Are we there yet? On the attribution of confidence to large language models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.895230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.895230Z digest=sha256:b9d1cf4bc17d9a3dec031686c5d1b919785f4d9521fe714493e75782c11255f8

Observation e655f642-7dee-468f-a491-7d80b96e4669 · outbound

This paper cites u tt, Sven D \.

LitLLMs, LLMs for Literature Review: Are we there yet? u tt, Sven D \

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.674645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.897849Z digest=sha256:d2b0a89b0afe6ba90210485c5bd4dc016fc4da1592cd59cb2c7d52e8f485f1f0

Observation 92eecaf3-99ef-4982-8f1f-b2e61232fbad · outbound

This paper cites The Semantic Scholar Open Data Platform.

LitLLMs, LLMs for Literature Review: Are we there yet? The Semantic Scholar Open Data Platform

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.899928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.899928Z digest=sha256:12eb5e6a5a8da9c8db5ae0a418103d163b53eda5b7786548c198c3691c8ca8f1

Observation f1fe2788-8e25-4712-9c0a-9743b06dd591 · outbound

This paper cites Large language models are zero-shot reasoners.

LitLLMs, LLMs for Literature Review: Are we there yet? Large language models are zero-shot reasoners

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.902990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.902990Z digest=sha256:b4a875fae151d975406e79d60194dcfdadc5fd7bb1060e65f04c71551de57998

Observation 05b4bbf9-fcbd-4d9a-ab12-56609a328abc · outbound

This paper cites Mcnemar test.

LitLLMs, LLMs for Literature Review: Are we there yet? Mcnemar test

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.663066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.905489Z digest=sha256:66b6996541ddac3e3c8bbf384e53ba9bdac22b0feaf8a4df3febef3880fba90b

Observation 7be279b5-ba91-45c3-b7c2-028fe4054bc5 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

LitLLMs, LLMs for Literature Review: Are we there yet? u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.909753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.909753Z digest=sha256:9841df7533c10e64e387e9b904f4005e0c890536999ca1d857b15f3a2c75365a

Observation ec22c2aa-8c8b-4a20-9449-38c802b9ae6d · outbound

This paper cites A Survey of Large Language Models Attribution.

LitLLMs, LLMs for Literature Review: Are we there yet? A Survey of Large Language Models Attribution

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.912322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.912322Z digest=sha256:c31dc3c11aca4757789918cd3db886a21e4e87b4fdd40de1c470bb54d3a34f96

Observation b70ea5c0-7220-44da-b46e-4249fbd89d44 · outbound

This paper cites Visualizing and understanding neural models in nlp.

LitLLMs, LLMs for Literature Review: Are we there yet? Visualizing and understanding neural models in nlp

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.652917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.915022Z digest=sha256:6e020a4cd3a627bb3f1c3d87d3887d5bc7287a05c471229860f878edc6d934df

Observation 0283b1bc-090b-4e7a-b21b-212f72d98c81 · outbound

This paper cites CORWA : A citation-oriented related work annotation dataset.

LitLLMs, LLMs for Literature Review: Are we there yet? CORWA : A citation-oriented related work annotation dataset

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.917960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.917960Z digest=sha256:d2ad836c6c5b4fd08440b4ae94c79e00dba87aa8be3a84a95d0b5142f1cbc732

Observation dfef61a1-7704-4fec-b57d-6092faa845e9 · outbound

This paper cites ROUGE : A package for automatic evaluation of summaries.

LitLLMs, LLMs for Literature Review: Are we there yet? ROUGE : A package for automatic evaluation of summaries

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.920464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.920464Z digest=sha256:da346b4e88d66ccac4fcb29ef76f6711be509cc9728e972f0fb21ddd046345df

Observation b13210e6-4289-41bc-82e0-d7c765be1a5e · outbound

This paper cites Generating a Structured Summary of Numerous Academic Papers: Dataset and Method.

LitLLMs, LLMs for Literature Review: Are we there yet? Generating a Structured Summary of Numerous Academic Papers: Dataset and Method

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.922901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.922901Z digest=sha256:5bb93d8b3bec641c9bf2e38314f273b85ef30111ac58e59780cf210a349a359b

Observation 0d0a16e5-929b-4ff3-8fec-93a0c82e77e3 · outbound

This paper cites Hierarchical transformers for multi-document summarization.

LitLLMs, LLMs for Literature Review: Are we there yet? Hierarchical transformers for multi-document summarization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.642170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.925599Z digest=sha256:f9b4a138487bed01efa963a2c7196f1a600a5baee4e5160d8df786496879d3dd

Observation 62a3fe27-e0a5-4009-a654-ffe589fd3171 · outbound

This paper cites G -eval: NLG evaluation using gpt-4 with better human alignment.

LitLLMs, LLMs for Literature Review: Are we there yet? G -eval: NLG evaluation using gpt-4 with better human alignment

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.928039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.928039Z digest=sha256:6e73abb584bded228f3e8d0ebd4f556f5d71fdf91445a0530b97f09ff40f7ed3

Observation e6d9157a-c998-4faf-b2f0-752977d944f6 · outbound

This paper cites S 2 ORC : The semantic scholar open research corpus.

LitLLMs, LLMs for Literature Review: Are we there yet? S 2 ORC : The semantic scholar open research corpus

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.930583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.930583Z digest=sha256:1fbb6f1cfe27a1d95b6bedc05b5efcfed1984f93139bb9de04c397f9ea7b829b

Observation f0cf8eda-4171-4f22-a3b4-ffb9a6629fe1 · outbound

This paper cites GROBID , February 2023.

LitLLMs, LLMs for Literature Review: Are we there yet? GROBID , February 2023

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.634871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.933434Z digest=sha256:0098a758cefd8ce18e0dd9e763fc4290ac909f1c69d2cc1c27f770726e79bd91

Observation 3b9e765e-cec4-44fa-ba08-707004affda0 · outbound

This paper cites Multi- XS cience: A large-scale dataset for extreme multi-document summarization of scientific articles.

LitLLMs, LLMs for Literature Review: Are we there yet? Multi- XS cience: A large-scale dataset for extreme multi-document summarization of scientific articles

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.936617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.936617Z digest=sha256:57f85c8237f4ca0f33c608d827714bab7059f0213d6d76d2be6b62cc5fc942da

Observation 3dadc17c-91a1-4324-a146-7c1815e1957a · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

LitLLMs, LLMs for Literature Review: Are we there yet? Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.939100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.939100Z digest=sha256:9f4a4d8bf72e816981ef31e80b95583c03bc60f4f86b727aaf1df84ff57f0d54

Observation 1b1cb13b-e93e-4853-ab51-f50bb05fc3b1 · outbound

This paper cites Textrank: Bringing order into text.

LitLLMs, LLMs for Literature Review: Are we there yet? Textrank: Bringing order into text

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.626845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.941611Z digest=sha256:d463ce1412a84ec8ef7d2e755e2a2a2a56f09e6523d73edc65fb66636e18979c

Observation d1fc91df-8056-450a-bfc5-de5790062a0b · outbound

This paper cites L o R a L ay: A multilingual and multimodal dataset for long range and layout-aware summarization.

LitLLMs, LLMs for Literature Review: Are we there yet? L o R a L ay: A multilingual and multimodal dataset for long range and layout-aware summarization

Reference 45

Resolution
verified exact
doi, observed 2026-08-11T15:26:53.192088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.943924Z digest=sha256:50196fd0169eefb0ec39a36367d49639c2f747809ab3f2c324b43725916a0355

Observation a47176b3-7d18-470f-b2d7-d2b3a5e3454e · outbound

This paper cites GPT-4 technical report.

LitLLMs, LLMs for Literature Review: Are we there yet? GPT-4 technical report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.946341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.946341Z digest=sha256:4dba422da98a847684249df6b7a6452923c8a5c690404f3c4bfd9decb186cbae

Observation c9017120-501a-43b0-ac06-ea9708db9491 · outbound

This paper cites Introducing deep research, 2025.

LitLLMs, LLMs for Literature Review: Are we there yet? Introducing deep research, 2025

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.615141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.948660Z digest=sha256:1363ba093b22866324ee0097ba2ec395e92a7316233f023de3ca3771cbfa44a6

Observation c6b74254-b792-4dbd-8f01-be1b272872bf · outbound

This paper cites Automatic differentiation in PyTorch.

LitLLMs, LLMs for Literature Review: Are we there yet? Automatic differentiation in PyTorch

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.606233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.950914Z digest=sha256:228856c6bc22011dbc56093ab1cfe2c1a145839b7564ce450aa8729f2ef7f02d

Observation 6333484a-35b0-49e5-bbac-9e12333555b6 · outbound

This paper cites On extractive and abstractive neural document summarization with transformer language models.

LitLLMs, LLMs for Literature Review: Are we there yet? On extractive and abstractive neural document summarization with transformer language models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.953394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.953394Z digest=sha256:db4bcf1e7ac564b73517b739a0e5b0ace2e4729a96c59def986bf13cfc92336a

Observation 75b34cdc-48ec-43c3-936c-d429e1fc9dca · outbound

This paper cites RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models.

LitLLMs, LLMs for Literature Review: Are we there yet? RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.955775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.955775Z digest=sha256:77b3829f3e4615510f89116a23635d6ad911b0a0187f8b0b301883a94ec74d35

Observation 69cb3449-d584-4cd5-9168-b11fd3a94a7a · outbound

This paper cites RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!.

LitLLMs, LLMs for Literature Review: Are we there yet? RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.958246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.958246Z digest=sha256:f14e653af163655db9bb5c93501ea89e3e35899a797d885164f9b8ced72aca00

Observation 897ff1fe-dae4-47ab-9b12-14e9a3d565f5 · outbound

This paper cites OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts.

LitLLMs, LLMs for Literature Review: Are we there yet? OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.961227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.961227Z digest=sha256:4ff879b3d468d7eac64a17b4093e2df94ac73b9ad299d73635c675452c0b7bc9

Observation ca257b62-5d65-4337-9919-75eaf298581c · outbound

This paper cites Data-to-text generation with macro planning.

LitLLMs, LLMs for Literature Review: Are we there yet? Data-to-text generation with macro planning

Reference 53

Resolution
verified exact
doi, observed 2026-08-11T15:26:53.179780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.963840Z digest=sha256:2a320b4f2b281a4bc49572a92e22a82066db6ecfa333e1cdfac0dccf86dbceb2

Observation 176992a1-f059-4b70-bde7-1b6417ba1f7a · outbound

This paper cites Data-to-text generation with content selection and planning.

LitLLMs, LLMs for Literature Review: Are we there yet? Data-to-text generation with content selection and planning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.966177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.966177Z digest=sha256:d92232147c3f05f58e376e7e2ecaa3b14b4527ff00c6b3ab989c2dc365e0b3f3

Observation 116bc95f-666a-48d5-b5a7-ab8f13db50e2 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

LitLLMs, LLMs for Literature Review: Are we there yet? Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.968182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.968182Z digest=sha256:5dacd537747ab2641c4e0735a122034b31e90dbaff4d50c30819a9ef6e5ed98f

Observation 6fb983f0-34fe-4622-8b81-cf80df8b7a0f · outbound

This paper cites Language Models Can Reduce Asymmetry in Information Markets.

LitLLMs, LLMs for Literature Review: Are we there yet? Language Models Can Reduce Asymmetry in Information Markets

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.971133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.971133Z digest=sha256:30f459b8a457856f85551d0a58ee730c04a55f20de8b1863eb063f0792b0438f

Observation 82168dfe-b653-4b3d-8421-275c1a1a387e · outbound

This paper cites Sentence- BERT : Sentence embeddings using S iamese BERT -networks.

LitLLMs, LLMs for Literature Review: Are we there yet? Sentence- BERT : Sentence embeddings using S iamese BERT -networks

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.974092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.974092Z digest=sha256:e7b7df3cafe0920cc4b7dd9bfc52608a0b7f20c4c7932de282c47f1d65eb8d47

Observation 4c0e2837-f1d5-4739-89d7-7d9e2d5e341c · outbound

This paper cites Building applied natural language generation systems.

LitLLMs, LLMs for Literature Review: Are we there yet? Building applied natural language generation systems

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.595710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.976145Z digest=sha256:d640e98c90a73216625d3417ea233686dbe5fba108b88391c02020964d848bd4

Observation ac909588-1d9f-42d6-8b32-5f7bacf24895 · outbound

This paper cites why should i trust you? : Explaining the predictions of any classifier.

LitLLMs, LLMs for Literature Review: Are we there yet? why should i trust you? : Explaining the predictions of any classifier

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.587570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.978017Z digest=sha256:df50acbd342441e69a048347c3a5d4ba08327e075bbed3d4527711a0d512fee4

Observation 54d74ec1-dc40-4e0a-a8c2-f526aa3a80bd · outbound

This paper cites BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks.

LitLLMs, LLMs for Literature Review: Are we there yet? BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.980113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.980113Z digest=sha256:d32cc81e79a7fdb7ba107746748b58fa070c6ed249b8751d6180ba2daa97262f

Observation 44384cfc-0844-4048-8066-d52c090d86f4 · outbound

This paper cites StarVector: Generating Scalable Vector Graphics Code from Images and Text.

LitLLMs, LLMs for Literature Review: Are we there yet? StarVector: Generating Scalable Vector Graphics Code from Images and Text

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.982991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.982991Z digest=sha256:f63fd6e99cd9a3e78f58cf1e2bc953c2663b89a4dc6a8c0e52b706f479a5cf64

Observation 2c73474d-fb06-4b2f-8c7e-eaf8406be6fa · outbound

This paper cites unarXive: A Large Scholarly Data Set with Publications’ Full-Text, Annotated In-Text Citations, and Links to Metadata.

LitLLMs, LLMs for Literature Review: Are we there yet? unarXive: A Large Scholarly Data Set with Publications’ Full-Text, Annotated In-Text Citations, and Links to Metadata

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.986123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.986123Z digest=sha256:37939b1e34cf2bf1b156af38d7bb9cb950062a394094caece416857787b93018

Observation 612dbc5c-afc7-4ef4-9607-c99fb4c3b0d8 · outbound

This paper cites unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network.

LitLLMs, LLMs for Literature Review: Are we there yet? unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.580111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.988451Z digest=sha256:94aa7684066fbe4b20b3fa3013cafbf155c170a99128a0d929ec5a29b87bda26

Observation b67cfa7e-961b-4dea-a92e-7449f8579076 · outbound

This paper cites Get to the point: Summarization with pointer-generator networks.

LitLLMs, LLMs for Literature Review: Are we there yet? Get to the point: Summarization with pointer-generator networks

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.573156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.991517Z digest=sha256:05bd106ad80286d4da54b373afa53c4d54f9ff2b3d80edf75e9ec42dcc9ceea8

Observation a9e51a8e-4fee-4b36-bea4-4995bdc53d9b · outbound

This paper cites Learning important features through propagating activation differences.

LitLLMs, LLMs for Literature Review: Are we there yet? Learning important features through propagating activation differences

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.566301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:52.994437Z digest=sha256:1d8ca2a68679ad9a197630f4bc7356c858792525bfce75051d3a844ccd79c337

Observation 658bbcd8-df50-45c2-b397-c3705682c541 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

LitLLMs, LLMs for Literature Review: Are we there yet? Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.997247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.997247Z digest=sha256:a51e76feddf178ab5e02fc1512430ba2fcc6a30fdbcdc7ac47d5c5717390a210

Observation 91f91b1a-670b-4fd1-8c32-6f8703c80303 · outbound

This paper cites SciRepEval: A Multi-Format Benchmark for Scientific Document Representations.

LitLLMs, LLMs for Literature Review: Are we there yet? SciRepEval: A Multi-Format Benchmark for Scientific Document Representations

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.999868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.999868Z digest=sha256:986fb22a663a88fb2be36e8d946dbfb4b9d05bad64e9537459f8f196f4c04724

Observation bcc8f569-47fc-406c-9c17-5cbb872c31d7 · outbound

This paper cites An overview of microsoft academic service (mas) and applications.

LitLLMs, LLMs for Literature Review: Are we there yet? An overview of microsoft academic service (mas) and applications

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.558069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:53.002427Z digest=sha256:a7bccfd69cd016e7fea425e0cb30e5875a5bd15ed8c9c10b6d945f8992f2b06f

Observation 2ae44f96-0679-4926-8257-e5e16798c4c0 · outbound

This paper cites SmoothGrad: removing noise by adding noise.

LitLLMs, LLMs for Literature Review: Are we there yet? SmoothGrad: removing noise by adding noise

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.005102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.005102Z digest=sha256:a42338565ecc58d1f0b80fb434099da92ba6cfe8055c8b01639f27df51b97f27

Observation 83cb7bde-6c8d-479b-8b77-edd60c81b00f · outbound

This paper cites Llm-planner: Few-shot grounded planning for embodied agents with large language models.

LitLLMs, LLMs for Literature Review: Are we there yet? Llm-planner: Few-shot grounded planning for embodied agents with large language models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.008395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.008395Z digest=sha256:ed7968ce8cc98d4e5b377a06fd60587a6fce78e8b1c6ca59bcef200a4e92af87

Observation a58d525c-26c6-4f90-b14d-d62c338d4477 · outbound

This paper cites Trainable sentence planning for complex information presentations in spoken dialog systems.

LitLLMs, LLMs for Literature Review: Are we there yet? Trainable sentence planning for complex information presentations in spoken dialog systems

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.010789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.010789Z digest=sha256:39a56ddf1bab4b7534e440a408bd968e118459da10a8ae04e5ebd799f79c13e5

Observation 156c6e03-a3d4-468f-93f8-0ea8c8eda641 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

LitLLMs, LLMs for Literature Review: Are we there yet? RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.013053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.013053Z digest=sha256:4c432e466cd9346390dbc0f072dbca52d1d37680e21950b07de9d94fd4b3eb24

Observation d647d29e-2f6b-4732-a806-21bbf145d0a5 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

LitLLMs, LLMs for Literature Review: Are we there yet? Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.015824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.015824Z digest=sha256:3b55310124cf54dfa088289a4d6cec8aa575fbafa6b055ba725d3b9f3b929ba5

Observation 27836e87-5ee1-4669-bc9e-bb723da797b1 · outbound

This paper cites Axiomatic attribution for deep networks.

LitLLMs, LLMs for Literature Review: Are we there yet? Axiomatic attribution for deep networks

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.547860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:53.018452Z digest=sha256:5d49ca4715a7020bae3f0eb0985a6990f812f9c3f1bf5cc3cae21f17d18c7fa9

Observation 486b7cb8-4993-466d-96df-f24892f29370 · outbound

This paper cites Galactica: A Large Language Model for Science.

LitLLMs, LLMs for Literature Review: Are we there yet? Galactica: A Large Language Model for Science

Reference 75

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unresolved
no resolver link, observed 2026-08-11T15:26:53.020845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.020845Z digest=sha256:4df20d033656ac8b8ee284f9eb6e7448279997485aea3762cf9178e457e72694

Observation e2557c60-658e-4fa5-854e-974254c5f886 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LitLLMs, LLMs for Literature Review: Are we there yet? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.023676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.023676Z digest=sha256:dd38822c4ad457981cdcad5a8da05a243eddd12ef804b538b879ce7b88a11cb1

Observation d60b041c-20e6-4ddc-bfbe-02ff0cae61e7 · outbound

This paper cites Individual and domain adaptation in sentence planning for dialogue.

LitLLMs, LLMs for Literature Review: Are we there yet? Individual and domain adaptation in sentence planning for dialogue

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T15:26:53.540322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:53.026230Z digest=sha256:82d734d3547c173a99ecfd10570e7d7a5c5d4bdb1ac2bcccc0caba437b6e2c29

Observation 782f3a9d-00ce-4966-a2de-a9218ba53978 · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

LitLLMs, LLMs for Literature Review: Are we there yet? Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 78

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unresolved
no resolver link, observed 2026-08-11T15:26:53.028720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.028720Z digest=sha256:71094fdab39efecfaee84f1680eb10f425c64fea31909f4c01a86e32c22d217b

Observation fe867cb8-dcb2-4f59-a68c-19ec12629785 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

LitLLMs, LLMs for Literature Review: Are we there yet? HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.031256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.031256Z digest=sha256:2318058adea12e5493a9d987d1a383c37ed7eece00e966d24a474722eb02f34d

Observation f0db7d33-418c-42e0-a238-ff199eddf878 · outbound

This paper cites PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization.

LitLLMs, LLMs for Literature Review: Are we there yet? PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.033801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.033801Z digest=sha256:8bca6a47af10b2c6ba5334e132464019e583443e7a8e6d7e8aedbddc638937be

Observation b5c8b0c6-19e2-4074-a52f-4ef5991787cd · outbound

This paper cites Re3: Generating Longer Stories With Recursive Reprompting and Revision.

LitLLMs, LLMs for Literature Review: Are we there yet? Re3: Generating Longer Stories With Recursive Reprompting and Revision

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.035900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.035900Z digest=sha256:0da4f1cb08546dabb95b6184e015cc8b9e50ce910ce51ca616df523e63fa0043

Observation 674b6cd3-5a3e-40bc-b027-9f2dae2f6c58 · outbound

This paper cites Automatic Evaluation of Attribution by Large Language Models.

LitLLMs, LLMs for Literature Review: Are we there yet? Automatic Evaluation of Attribution by Large Language Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.038059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.038059Z digest=sha256:1ebee77a196fc442f4df7e9cee9ba8626467eecca9cfbc7cb0994bae1f4dee2a

Observation 958c8811-eecb-4c9a-a224-cfc9e152d67e · outbound

This paper cites Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.

LitLLMs, LLMs for Literature Review: Are we there yet? Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.040339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.040339Z digest=sha256:b1fb94f1dd40df2f2a9ec42e96af273a704c3d61c53e40aa7e920cddcdcc96a2

Observation b07f4209-8c45-48ff-af58-23d0244a50a1 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

LitLLMs, LLMs for Literature Review: Are we there yet? Large Language Models Are Human-Level Prompt Engineers

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.042623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.042623Z digest=sha256:793a4961042faa1ddfdbbfd6f4ee59f143ecd066a75306bdd003030d79eb65a2

Observation ff8b35fa-d2c7-438d-91be-d1aab6e84b79 · outbound

This paper cites Hierarchical Catalogue Generation for Literature Review: A Benchmark.

LitLLMs, LLMs for Literature Review: Are we there yet? Hierarchical Catalogue Generation for Literature Review: A Benchmark

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:26:53.247278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-11T15:26:53.045190Z digest=sha256:bbeda3b3937868a3a6f0edf071e7bcaf130e149b8ba9ec02c97dceafb334510b

Observation 1d1ac62d-bd19-4de3-9ebb-f0c7c2ca2661 · outbound

This paper cites write newline.

LitLLMs, LLMs for Literature Review: Are we there yet? write newline

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:53.048015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:53.048015Z digest=sha256:36ac91b6f67c690ff2c47448c94e332e2b5adcd7260a49e3402ad07f6167ea49

Pith citing papers

Observation 7f38c6ee-7c88-41ee-8569-b0427bf4aa9e · inbound

AI4Research: A Survey of Artificial Intelligence for Scientific Research cites this paper.

AI4Research: A Survey of Artificial Intelligence for Scientific Research LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 8

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unresolved
no resolver link, observed 2026-08-06T20:45:08.684361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:08.684361Z digest=sha256:ab9f20f935c49e5988013a072349038fa6f5322fff556e6db39fd39a991faa82

Observation ba1ac94a-5afc-41c7-806f-e4ad49d89d4a · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:14.545218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.545218Z digest=sha256:76d7fc64172d88e9ba0560f4b6985149e1a50aaac308f3164ca6f78ad37d5ce1

Observation d7f6d4fd-d30e-401e-bdae-fcb7094da604 · inbound

Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers cites this paper.

Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T01:01:25.716154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T01:01:25.716154Z digest=sha256:7a4a6185dbf42ac94b2b0609ece3c5e149a90688b83da87492048a0cd32997ec

Observation 8938861c-0efc-4faf-b84a-cf5d42160ef0 · inbound

VA-Blueprint: Uncovering Building Blocks for Visual Analytics System Design cites this paper.

VA-Blueprint: Uncovering Building Blocks for Visual Analytics System Design LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T22:10:56.790289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:10:56.790289Z digest=sha256:8d40965353194c64112f8d20e0ba67582cf95dca30a86992f46f7d8237093817

Observation c9ccb00a-cbef-4896-8fd6-5ded82d476af · inbound

Compare: A Framework for Scientific Comparisons cites this paper.

Compare: A Framework for Scientific Comparisons LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T23:39:40.748439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:39:40.748439Z digest=sha256:d7cc184ea51551d6fb3ad7620a3a7ad2ded7eceeed2f77f0d84ba84767b66aba

Observation 1d721466-4e54-49fc-9076-5a568496c328 · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:48.112665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T06:03:59.798126Z digest=sha256:43272fb983f46fdaa95b097d2765d79ea84ba510e911d76800e871c60751c3e7

Observation 35bc5d1c-7816-425d-82c9-362cd03e9926 · inbound

Can LLMs extract scientific consensus? A case study in high-temperature superconductivity cites this paper.

Can LLMs extract scientific consensus? A case study in high-temperature superconductivity LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T15:13:31.587088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T15:05:52.415350Z digest=sha256:430290e480b8816f1c4dc1bd844fbf55002b2e29f491677e98cb66d88e25eef8

Observation 088a97c0-14d2-497f-9984-1e607d3e5aa6 · inbound

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales cites this paper.

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales LitLLMs, LLMs for Literature Review: Are we there yet?

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:28:04.343776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T09:34:09.347912Z digest=sha256:0898152998c95a791bb94d7ab9ca4286d9ad609e79946f38711e6d1d1fd24f64