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Paper Citation Record · LEDGER

LitLLM: A Toolkit for Scientific Literature Review

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2402.01788.

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

pith.paper-citation-record.v1
2402.01788 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:10.756690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:36.905969Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 064cbf09-e611-4fce-aed9-c8bca8dc297e · inbound

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms cites this paper.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms LitLLM: A Toolkit for Scientific Literature Review

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.179802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.179802Z digest=sha256:c426e99aabe5345c325860b21dfab94972894fdc8199ab026e751ab24ed48369

Observation 270aa6bf-2c1c-4745-bad3-dfef180baaa5 · inbound

WithdrarXiv: A Large-Scale Dataset for Retraction Study cites this paper.

WithdrarXiv: A Large-Scale Dataset for Retraction Study LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T22:10:34.372051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:10:34.372051Z digest=sha256:e231a33904f981503c0d2425f8297594b14d1d768c833a2722625d495d7064f9

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

LitLLMs, LLMs for Literature Review: Are we there yet? cites this paper.

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:f93831a129652e9b15d7a554133afa719468c8a8aaaa7c808a0d6f80e6d17bd5

Observation 49439a4d-1bb4-4d0c-a96c-db02a561ba38 · inbound

A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science cites this paper.

A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:31:33.050264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:31:33.050264Z digest=sha256:3dcac1d80ba3c2bd2ee77e94420650e3551ee569cc279af26fea6065614d6726

Observation 40797cab-34f2-4c1f-a7ee-ee67935edf5e · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research LitLLM: A Toolkit for Scientific Literature Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:25.063857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:25.063857Z digest=sha256:c15ba799091fe7a258c9d6be1047697dd3e08c0d1f9e2421311749de40ffd67f

Observation 89bf8fda-4a5d-4ae5-a861-f35f1be49c9c · inbound

Robin: A multi-agent system for automating scientific discovery cites this paper.

Robin: A multi-agent system for automating scientific discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:10.756690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:19:10.756690Z digest=sha256:51a8501fee76cd511109b6ecedfe07b17eb51c5ed4ead2e195d46fdf7186c705

Observation 5191e7f7-57e8-470a-9d65-1fb5189b0623 · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models LitLLM: A Toolkit for Scientific Literature Review

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:32.925981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:13:32.925981Z digest=sha256:329fbc6b475a09ee72801b0e4f9db5562f9d6e92d74d8ef27dabdf06a1ab3af3

Observation b0ca9807-403c-4b7b-a9f0-3c31c2173f74 · inbound

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models cites this paper.

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:40.405068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:40.405068Z digest=sha256:3a430f0a6ac66b050fc835fb1fd08a976cf3acddd14e1d91e0d9f5f0b0642fe9

Observation 5afbfc62-d585-46c0-b450-f74f715fbc02 · inbound

Predicting Empirical AI Research Outcomes with Language Models cites this paper.

Predicting Empirical AI Research Outcomes with Language Models LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:05:55.548904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:05:55.548904Z digest=sha256:c6b666bbe4947bcf79a2a089a149e62aba9fc0c5bdd2918143325863ae606ccc

Observation 27a7a5cc-4607-4434-b547-8c7ee6e9f8f4 · inbound

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem cites this paper.

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:49.421086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:22:49.421086Z digest=sha256:401d432d325eb917bbb244104bd1c44b24686451894d214f998606846ba1c1dd

Observation f02d9a12-44bc-4d7a-bb45-feafd63ffa5b · inbound

No Stupid Questions: An Analysis of Question Query Generation for Citation Recommendation cites this paper.

No Stupid Questions: An Analysis of Question Query Generation for Citation Recommendation LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:20:02.873945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:20:02.873945Z digest=sha256:ff9f296a866a4b446f66ea1c8918d11c5ed86e331281dbbbfccbe1eb31e18259

Observation 981e86aa-6ce1-4f1d-965b-aee7fa959f87 · inbound

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

AI4Research: A Survey of Artificial Intelligence for Scientific Research LitLLM: A Toolkit for Scientific Literature Review

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T20:45:08.640354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:45:08.640354Z digest=sha256:22e57fa35fe74622769dea7a903341b3fd2793c6485e682fd5a845d4dd70c43f

Observation dc1ae87c-2e01-424a-a461-b79906807f20 · inbound

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers cites this paper.

Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers LitLLM: A Toolkit for Scientific Literature Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T20:28:54.940382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:28:54.940382Z digest=sha256:e0131ca8a244168c31acf66e7f72aea09f8596893cf71f31e95e3c028730ba0b

Observation 03a1e1bf-9a83-44f8-81e9-ed84d70e5f97 · inbound

Virtual Laboratories: Domain-agnostic workflows for research cites this paper.

Virtual Laboratories: Domain-agnostic workflows for research LitLLM: A Toolkit for Scientific Literature Review

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:48.932172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:48.932172Z digest=sha256:e60a3243dd03ef82d23ea22dabf89139ece3798b84a0d5028720f695270ecc6d

Observation 64816137-9346-4b15-b954-18284968d0c8 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:17:06.410238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:e16910e82ef6a6e8f02cbc364d120c859904c1d80196bb081eded19d11957899

Observation f62fbbe1-67c3-4ba0-9888-9dbece2476eb · inbound

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research cites this paper.

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research LitLLM: A Toolkit for Scientific Literature Review

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:30:30.874417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:30:30.874417Z digest=sha256:6709599f7a4094173edaef5df80d997605cac7add53bf478d9f4440065991398

Observation 4746cbc5-a89e-4fbb-ab35-0c68aa034838 · inbound

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

How Far Are AI Scientists from Changing the World? LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:14.540909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.540909Z digest=sha256:328067d6f5cb100b5e78c1b676f94e618474338dbbb0e8d1a86596c063acd711

Observation a1bb6e14-2b46-4dbb-a39e-3b0bf8e75d8f · inbound

SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems cites this paper.

SGSimEval: A Comprehensive Multifaceted and Similarity-Enhanced Benchmark for Automatic Survey Generation Systems LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T20:02:54.927944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:02:54.927944Z digest=sha256:4237ea68dc356ff1e07cf18f282c0250638560f9794a88935990c1ad0cb3278c

Observation eeb097bc-91f3-4174-83cb-2e46833e7892 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution LitLLM: A Toolkit for Scientific Literature Review

Reference 114

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T13:58:58.848224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-16T13:58:58.627748Z digest=sha256:9d6b66bbc446ad052420299177d20b515381ab97b00cca8bf4026da35abed996

Observation 04e0f080-5963-4ddc-8f49-8f9a214d9d66 · inbound

Paper Espresso: From Paper Overload to Research Insight cites this paper.

Paper Espresso: From Paper Overload to Research Insight LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:45:47.924884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T19:37:25.753942Z digest=sha256:c263d801cd53ba3f1191562e9f8028d96888724e6b93febe3c2ce75f8d6e9da8

Observation 147c919a-48ec-41de-b9e2-cffec6c8d1ac · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:19.863887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-09T18:54:06.144968Z digest=sha256:d5e7b15a72291ff9b76db16802d8507f9d5e1622777178828ec57af898fa6005

Observation 7f2bf485-805c-4297-9aa9-4f698d1cf9dd · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.712111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T00:18:32.423103Z digest=sha256:b38e30b9832d562a3bb0decb37aa5bd8347fe0733a136dc3ebb32aa15e4c256f

Observation c43bba5f-de71-4aa3-b178-6441dfa5a8be · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:31:07.956061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T17:28:41.217810Z digest=sha256:046b279ef0d4227e8602fd86678a54f2a841c9eb412ab5694aa3cd07eb78be9b

Observation f535e78a-dfe1-4d81-b775-673e04991365 · inbound

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery cites this paper.

Experiment-as-Code Labs: A Declarative Stack for AI-Driven Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T00:13:52.851248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-21T00:13:07.546472Z digest=sha256:475192c586a6f7add96b47e2454d7124f1660c3c476d937fc59ca8faa089ddee

Observation d7dbb624-fef7-4c21-b350-5459f1da46d4 · inbound

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research cites this paper.

OpenAaaS: An Open Agent-as-a-Service Framework for Distributed Materials-Informatics Research LitLLM: A Toolkit for Scientific Literature Review

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:52:35.656905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T18:50:27.219978Z digest=sha256:ea9f4e982ae567152f1c7fdc5974f9e14eb0c8082dc471e89b07969f669f8ee4

Observation 6fd1ec87-fff6-4866-9b39-b3ab49522195 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:33:12.615221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T10:30:50.256635Z digest=sha256:7750eb3ba9a801024cb41f46c8c6f9c35607b14046cd401021338732e7148c4a

Observation b40a947a-01c2-4b01-bd90-dd675805e366 · inbound

AI for Auto-Research: Roadmap & User Guide cites this paper.

AI for Auto-Research: Roadmap & User Guide LitLLM: A Toolkit for Scientific Literature Review

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T13:43:32.642197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:43:32.642197Z digest=sha256:3ec004102213b686ff13997eb8a3c1477cf94b04df9f0819540b9f1523b317c2

Observation b30f06f8-a32d-4780-983f-e0cb4dad5a3a · inbound

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery cites this paper.

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery LitLLM: A Toolkit for Scientific Literature Review

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:50:21.521821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T04:46:43.679185Z digest=sha256:e685545ce89e75573e1dc0281ec936c6f289236c7704cf87000d20f2ee3399b4

Observation 066e99d0-d58e-4936-8eac-c338a29b549f · inbound

Sakana Fugu Technical Report cites this paper.

Sakana Fugu Technical Report LitLLM: A Toolkit for Scientific Literature Review

Reference 150

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:39:36.907473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T14:22:37.596720Z digest=sha256:5d14c841b489977083700048e7766d51a0d46345571de161caa8bd38c1fe7396

Observation d7c4ff72-b5e1-4c29-a9e5-7e0445196771 · inbound

Multi-Turn Agentic Scientific Literature Search via Workflow Induction cites this paper.

Multi-Turn Agentic Scientific Literature Search via Workflow Induction LitLLM: A Toolkit for Scientific Literature Review

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:16:58.149803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-02T13:14:12.212139Z digest=sha256:a90c22779a172c8d55396e2f04f82694551561df6df035908319589b92505470

Observation 2b53f089-4f3b-4b8b-b83c-d6b635efe76a · inbound

Multi-Turn Agentic Scientific Literature Search via Workflow Induction cites this paper.

Multi-Turn Agentic Scientific Literature Search via Workflow Induction LitLLM: A Toolkit for Scientific Literature Review

Reference 30

Resolution
unresolved
no resolver link, observed 2026-07-12T09:24:39.779703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T09:24:39.779703Z digest=sha256:51459313827e0c7888d1997be67c36444521264260d2509ca0463de346eebe82

Observation 54804b4f-9eb0-45f0-b60f-e6bfadbd4119 · inbound

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review cites this paper.

Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review LitLLM: A Toolkit for Scientific Literature Review

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T00:54:33.811783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:54:33.811783Z digest=sha256:ab5268bbb7d95bc04e514836a7442fe897b71c8fd80ada7200490f5d38a965e7