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Paper Citation Record · LEDGER

LLMs to Support a Domain Specific Knowledge Assistant

As of 9 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2502.04095.

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

pith.paper-citation-record.v1
2502.04095 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:35:38.644920Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

78 of 78 outbound references displayed

  • verified exact4
  • verified fuzzy12
  • unresolved62
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fbe61fd-1967-46c1-bf45-bf50078206e6 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:40.285510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.270430Z digest=sha256:1021483b4452927572aafcee4c33108f6f5c875a226d6740b03c997381e8ef88

Observation 3560d75e-404f-4a0c-a3fc-4944f8141039 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 2

Resolution
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raw_fallback, observed 2026-08-08T23:35:40.270049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.276668Z digest=sha256:7c71ddfee33b8e45bad045c54e000e520f173884a352f5ebce522beeff26ba0e

Observation f5308982-df2e-475a-849d-8fca1d5a03e3 · outbound

This paper cites Human-computer interaction in customer service: the experience with ai chatbots—a systematic literature review.

LLMs to Support a Domain Specific Knowledge Assistant Human-computer interaction in customer service: the experience with ai chatbots—a systematic literature review

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.254101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.281821Z digest=sha256:0c6e500c3c7c44c27bd17d4eb8708d78225e51c2ea3f89e4c38bd6addbdb4eb5

Observation cb39848f-b252-47b6-93c2-59f5ea9bbf2a · outbound

This paper cites From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process.

LLMs to Support a Domain Specific Knowledge Assistant From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

Reference 4

Resolution
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no resolver link, observed 2026-08-08T23:35:38.287145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.287145Z digest=sha256:7ad98c403ed45197cc41ddd74eea4c8ed405cb3c481c69ccd770f7aa401e6be2

Observation bc7cf24e-03df-4994-97b8-a1f8d802a280 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

LLMs to Support a Domain Specific Knowledge Assistant Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 5

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unresolved
no resolver link, observed 2026-08-08T23:35:38.292477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.292477Z digest=sha256:be5cd117ce639a0d530aedba948e20b52445d745572c75850e5f6fad10f6bcb7

Observation 3d8f3030-adbb-4da6-ad89-5dc5f8275744 · outbound

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

LLMs to Support a Domain Specific Knowledge Assistant BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.297592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.297592Z digest=sha256:d1b7f57936ce9daef1f3d9a76a549fa52d2bdb5972ce6ac71e85ea3eb44b2ce1

Observation 03f5f38b-1dab-41fd-a6aa-942262fecdaf · outbound

This paper cites Improving language understanding by generative pre-training, 2018.

LLMs to Support a Domain Specific Knowledge Assistant Improving language understanding by generative pre-training, 2018

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.302973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.302973Z digest=sha256:ec020347ac95400112c05fcda1913e80157cc1c28511482ba8598852281a62cc

Observation 3a18203b-c891-495e-a93e-eea434270889 · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

LLMs to Support a Domain Specific Knowledge Assistant Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 8

Resolution
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no resolver link, observed 2026-08-08T23:35:38.307946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.307946Z digest=sha256:6169dce70a737d021215c6b748dcc56976f79192f19008e76d2501406b67859b

Observation b58296fc-f283-495c-ad50-beb1e81c697d · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

LLMs to Support a Domain Specific Knowledge Assistant The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 9

Resolution
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no resolver link, observed 2026-08-08T23:35:38.312885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.312885Z digest=sha256:028a5b4ce029d838a71b02cb8412ac455198c25b0c5a63d7fd074bf783823854

Observation aee6df37-2722-4b46-8de6-0837fb0a39f7 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.317877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.317877Z digest=sha256:1a33fb196747d52c20b328cabd3ca80ce962e7ae1aba20deb8d01b87228390e5

Observation 167eec3d-8343-4b29-bdd0-9ff14a9d6159 · outbound

This paper cites Prompt programming for large language models: Beyond the few-shot paradigm.

LLMs to Support a Domain Specific Knowledge Assistant Prompt programming for large language models: Beyond the few-shot paradigm

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.206046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.322461Z digest=sha256:c978fb2773971775b88932317f4b9774d21da0b69b8c96efe25a3866687db10b

Observation d78decc9-b5d9-4c4f-b4d0-7f0c5ec9511f · outbound

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

LLMs to Support a Domain Specific Knowledge Assistant Large Language Models Are Human-Level Prompt Engineers

Reference 12

Resolution
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no resolver link, observed 2026-08-08T23:35:38.326964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.326964Z digest=sha256:d4fa16852ebb7fe5eb2a5be184641d4193e8507cef9efaa660377f6ec21e374d

Observation 6a2701ee-3e96-495c-ad7c-2ddff3470e62 · outbound

This paper cites AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.

LLMs to Support a Domain Specific Knowledge Assistant AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.331946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.331946Z digest=sha256:d5b3e82ff609adea02d7f943ba979fb4949e276f696b7e0232d76c1d279584a4

Observation 8ac32fa0-11f8-4eb4-b313-2ced4efeac12 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

LLMs to Support a Domain Specific Knowledge Assistant Chain-of-thought prompting elicits reasoning in large language models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.337486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.337486Z digest=sha256:6ac286aa6647296b816e05bbfc5d3b31394d8efa4303f0f2183f8e396638d598

Observation 1b8f09c3-cbed-4a76-93cc-a32233a4c9d0 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

LLMs to Support a Domain Specific Knowledge Assistant Large Language Models are Zero-Shot Reasoners

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.342091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.342091Z digest=sha256:b2a2741f8ee5fd0bdef6254aaffba43fac60d8f9f7e760760238ecf2d5d3f105

Observation 785388d2-4426-4158-a0ab-5e17aec53ad8 · outbound

This paper cites GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4.

LLMs to Support a Domain Specific Knowledge Assistant GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

Reference 16

Resolution
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no resolver link, observed 2026-08-08T23:35:38.347287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.347287Z digest=sha256:f24790fcd203e9d15f019e7af1793ab8c8a964b6ace8033228954840491d4a3e

Observation e91cc26b-1dbf-417b-878d-a11e744be5ab · outbound

This paper cites Large language models are diverse role-players for summarization evaluation.

LLMs to Support a Domain Specific Knowledge Assistant Large language models are diverse role-players for summarization evaluation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.179241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.352154Z digest=sha256:00fbb0749ab9a3e868461f9c30f9d97ba647af88c7a751c0cd391de9a8091b9a

Observation 3a5e1416-802d-4367-ad50-6e56a5ad1c2f · outbound

This paper cites Error analysis prompting enables human-like translation evaluation in large language models: A case study on chatgpt, 2023.

LLMs to Support a Domain Specific Knowledge Assistant Error analysis prompting enables human-like translation evaluation in large language models: A case study on chatgpt, 2023

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.161752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.357063Z digest=sha256:9fb1603a4047bfac1fb3d871301cc9067561f494562688a188f9480b68436acd

Observation 32a5e30b-a6fc-44c1-842d-092c8b0d8f73 · outbound

This paper cites Human-like Summarization Evaluation with ChatGPT.

LLMs to Support a Domain Specific Knowledge Assistant Human-like Summarization Evaluation with ChatGPT

Reference 19

Resolution
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no resolver link, observed 2026-08-08T23:35:38.362684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.362684Z digest=sha256:dbccd705762acc1edffdbadfb110394097416cdaab78ce4511417d2a8dd8ed83

Observation 9035f3c2-8f1b-4707-abee-1122bd5a9385 · outbound

This paper cites Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?.

LLMs to Support a Domain Specific Knowledge Assistant Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.367530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.367530Z digest=sha256:51ad206b125dd9d8e3c5027645088cacd5af0ab32b3d0ba14702479bd8792964

Observation 2d4ddd91-5fb0-447d-974f-b8c6d610fc06 · outbound

This paper cites LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models.

LLMs to Support a Domain Specific Knowledge Assistant LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.372362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.372362Z digest=sha256:f324c0b1aea005ce5c5d775713a8d4b53571b715a5852e633e57097ab9c42abd

Observation 545a77cb-d9dd-4508-918a-527d353e5c1f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LLMs to Support a Domain Specific Knowledge Assistant LoRA: Low-Rank Adaptation of Large Language Models

Reference 22

Resolution
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no resolver link, observed 2026-08-08T23:35:38.376982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.376982Z digest=sha256:247e2837ae2e235a76a40eb0f38af08a9b3f179186a1e3fad8eb02a5d482402a

Observation a6688997-8b25-4870-88ce-76f54f558c85 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021.

LLMs to Support a Domain Specific Knowledge Assistant Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.381289Z digest=sha256:50b46597744815959bd00734c81e1e348722fdfaaa2f20dcc5393f795d5a9135

Observation a54d6c04-7da1-4762-9701-cf364bed7a1b · outbound

This paper cites Retrieval-augmented generation for large language models: A survey, 2024.

LLMs to Support a Domain Specific Knowledge Assistant Retrieval-augmented generation for large language models: A survey, 2024

Reference 24

Resolution
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no resolver link, observed 2026-08-08T23:35:38.385290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.385290Z digest=sha256:949f0036f7e9e2ed6fda45ee5cde17cdec2417d3c9bc2b9db6d1a5265006a890

Observation 433241c6-0747-4980-8ebe-bec15109e172 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:40.121953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.389438Z digest=sha256:e1110f016c2156e8a9fd7a58dd3a62e8ff7bb1d5c78b9acee45b7bac9268f976

Observation 020709f2-53be-4aa2-b3da-b064ed474ec9 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:40.106612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.394298Z digest=sha256:f0402bdb2efbfdba78459df0010190567848b38001d71cf3b6ca182e4b7f8ed8

Observation 2f0ac7be-052f-4e6d-ac2a-3548a78a155a · outbound

This paper cites Semantic cosine similarity.

LLMs to Support a Domain Specific Knowledge Assistant Semantic cosine similarity

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.091075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.398657Z digest=sha256:ec85045ed81756da43a563de4697d338a95aeba6692249169282e67ae723d2e9

Observation cdac9c84-a9e1-442b-af34-37d22c70a54c · outbound

This paper cites Dense passage retrieval for open-domain question answering, 2020.

LLMs to Support a Domain Specific Knowledge Assistant Dense passage retrieval for open-domain question answering, 2020

Reference 28

Resolution
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no resolver link, observed 2026-08-08T23:35:38.402660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.402660Z digest=sha256:bb65ef5b3ec87dc7bc7df116d32eacd0d3de87a34de502835b937b376b9db865

Observation d0a2171e-59a3-4299-8c67-90d4fc87f79e · outbound

This paper cites Accessed 21 July 2024.

LLMs to Support a Domain Specific Knowledge Assistant Accessed 21 July 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.065905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.406672Z digest=sha256:2dd4b6e960cef62a1d9d75e7cf07bac673b8f6a4cfca172310aa4439850ba943

Observation b5bedbd4-28c0-4a85-9436-c5d65e1695a6 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

LLMs to Support a Domain Specific Knowledge Assistant Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.411883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.411883Z digest=sha256:41ca88da426dcb9f4cb43867377d349b67ad9f472319043fe50f24c02e4e6d2f

Observation 09f1763a-1e5b-4113-a5fc-de053506d355 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

LLMs to Support a Domain Specific Knowledge Assistant Bleu: a method for automatic evaluation of machine translation

Reference 31

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T23:35:39.540290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.416925Z digest=sha256:57e66ede632c3c6415a1778102574da0152c3a3568c88ee88401092b6e2ac3f4

Observation 1e815d5c-6a52-4a7e-a8a3-00eeee8ac9d9 · outbound

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

LLMs to Support a Domain Specific Knowledge Assistant Rouge: A package for automatic evaluation of summaries

Reference 32

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unresolved
no resolver link, observed 2026-08-08T23:35:38.421791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.421791Z digest=sha256:f2c3de0f46e194299655aa0cca853215f70cdc8d4f413feeb6d3ecb7cb8d6411

Observation b215f149-9944-4033-a50c-4dde10dcd178 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

LLMs to Support a Domain Specific Knowledge Assistant BERTScore: Evaluating Text Generation with BERT

Reference 33

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unresolved
no resolver link, observed 2026-08-08T23:35:38.426352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.426352Z digest=sha256:44040012e3048c1cecfd9a476b80ac1d9ebcac093c34960cac8c659830d1170b

Observation 5d2fde8d-e24f-4ff8-83d1-eed815f44177 · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

LLMs to Support a Domain Specific Knowledge Assistant BLEURT: Learning Robust Metrics for Text Generation

Reference 34

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unresolved
no resolver link, observed 2026-08-08T23:35:38.431869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.431869Z digest=sha256:a2b35ad9ee003b044971274333bb6be1ff22544ddcba0f0f6007afdeb89c8b1f

Observation 128d7c09-0998-4410-88e3-442c08605dcd · outbound

This paper cites Interpretable Unified Language Checking.

LLMs to Support a Domain Specific Knowledge Assistant Interpretable Unified Language Checking

Reference 35

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no resolver link, observed 2026-08-08T23:35:38.437005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.437005Z digest=sha256:8d3c999c100abccf7bea189f7e4f75bcf4536efdf97c3e2c393c131767d806ed

Observation db3537b9-6dd4-4202-b612-3ab178c3f490 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

LLMs to Support a Domain Specific Knowledge Assistant FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 36

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unresolved
no resolver link, observed 2026-08-08T23:35:38.442556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.442556Z digest=sha256:fa73fba98314db9e64f534eff98ae88fdf325b218a20f992e3e021778a2d655a

Observation 6e2835d9-927e-444f-9547-673c77bf6eee · outbound

This paper cites GPTScore: Evaluate as You Desire.

LLMs to Support a Domain Specific Knowledge Assistant GPTScore: Evaluate as You Desire

Reference 37

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no resolver link, observed 2026-08-08T23:35:38.447640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.447640Z digest=sha256:b6cc932c0fd7415b2ee0dc9ee99a47fc7b528759159a236d4b3d9b4efda4e8b1

Observation 3b2abbf5-d459-4bd4-aa41-eda814481ab7 · outbound

This paper cites Is ChatGPT a Good NLG Evaluator? A Preliminary Study.

LLMs to Support a Domain Specific Knowledge Assistant Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Reference 38

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unresolved
no resolver link, observed 2026-08-08T23:35:38.452575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.452575Z digest=sha256:3915b966a634eb3c25ad77b5e20cb1a301e62f242047df479de0e28ff0ab4087

Observation b891f2cb-389b-4253-b37a-a1a0392695ac · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

LLMs to Support a Domain Specific Knowledge Assistant Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.457578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.457578Z digest=sha256:a8dd5aa652fae571aaae4ee249ba6a048c741b5c992a61c556e9e77f6294d1ef

Observation 6f55d8f8-bc75-482e-b338-64c658656f7b · outbound

This paper cites Large Language Models are not Fair Evaluators.

LLMs to Support a Domain Specific Knowledge Assistant Large Language Models are not Fair Evaluators

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.462400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.462400Z digest=sha256:8a8af6b48eea6cba19413ec3bb183f33461a70cf81566fda6d7046d0fa6833fa

Observation ba0a48c1-541e-4cba-ba66-c9c0066dbb80 · outbound

This paper cites HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models.

LLMs to Support a Domain Specific Knowledge Assistant HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.467302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.467302Z digest=sha256:540da350673c001a14034281c2bd18ed662378d6c44f7221a93e78f174525433

Observation 13c1e3a6-a4d8-420e-8dd6-2a26f2d0aeff · outbound

This paper cites Computer-aided generation of multiple-choice tests.

LLMs to Support a Domain Specific Knowledge Assistant Computer-aided generation of multiple-choice tests

Reference 42

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T23:35:39.242850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.472371Z digest=sha256:ac7b8a2780611b1b1d235d55ff1a52055a04034dea39a929b0dbf8d113bcc3b8

Observation 538aecc0-752e-405c-b61a-fe03fc234563 · outbound

This paper cites The first question generation shared task evaluation challenge, 2010.

LLMs to Support a Domain Specific Knowledge Assistant The first question generation shared task evaluation challenge, 2010

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.039284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.477003Z digest=sha256:766fb1401029c57320a69fb2cc35160c1670748ae8f48bf41116e5e4bfda718f

Observation 05695576-110b-462e-b4b5-92988f5a7c3c · outbound

This paper cites Learning to Ask: Neural Question Generation for Reading Comprehension.

LLMs to Support a Domain Specific Knowledge Assistant Learning to Ask: Neural Question Generation for Reading Comprehension

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.481764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.481764Z digest=sha256:92dce1dc3b391bbe915586bc7bb9a882eefe27fd2b8141d9de0db14d5afb673c

Observation 8dae9894-e3f2-47f2-acce-207f1eb7a5da · outbound

This paper cites Answer-focused and position-aware neural question generation.

LLMs to Support a Domain Specific Knowledge Assistant Answer-focused and position-aware neural question generation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.018911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.486640Z digest=sha256:c31a81746aef14f36f5b6e4ff48db2bd8a1d9f584bc095b3487a96f9643f0252

Observation 0deb3830-f0d0-4b08-9130-561f9ad34f41 · outbound

This paper cites Leveraging context information for natural question generation.

LLMs to Support a Domain Specific Knowledge Assistant Leveraging context information for natural question generation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:40.001995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.491306Z digest=sha256:769f1bf089d9871533519e0814e278085e8b2c799d1ea4ef2aca26e9088c4d84

Observation 0ed8d2ce-04a8-4a21-8c89-36f9a547068f · outbound

This paper cites End-to-end synthetic data generation for domain adaptation of question answering systems.

LLMs to Support a Domain Specific Knowledge Assistant End-to-end synthetic data generation for domain adaptation of question answering systems

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:39.985057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.495819Z digest=sha256:6279c14c005e89e48b5df3a4bf870cc19c1e8d26a58dfc6ab539f36b8201c4a8

Observation 8db68d10-a1d9-4ed2-a896-a87002778694 · outbound

This paper cites Synthetic QA Corpora Generation with Roundtrip Consistency.

LLMs to Support a Domain Specific Knowledge Assistant Synthetic QA Corpora Generation with Roundtrip Consistency

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:35:38.943473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.500502Z digest=sha256:d5372e0177e0883b72ef2466b1377d8a896ed5422468312f53192941d48834ca

Observation 36aaa786-daa3-4c3f-9017-5d7576f56d96 · outbound

This paper cites Training Question Answering Models From Synthetic Data.

LLMs to Support a Domain Specific Knowledge Assistant Training Question Answering Models From Synthetic Data

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.505128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.505128Z digest=sha256:b7fe2de2d329c5fb0496f6e1d529dcb3a03b3b3d7c940afbaab89b70f1aa1fb5

Observation 774dcccc-7e02-40cc-be38-388276779010 · outbound

This paper cites Asking questions the human way: Scalable question-answer generation from text corpus.

LLMs to Support a Domain Specific Knowledge Assistant Asking questions the human way: Scalable question-answer generation from text corpus

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:39.969056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.510106Z digest=sha256:8ed9689a9b705d5777dbe468dd7b1672a4c0827a15ead2b06efbb7decc2a7b2e

Observation f9955273-cd81-41d7-bc03-fabd187a0312 · outbound

This paper cites Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation.

LLMs to Support a Domain Specific Knowledge Assistant Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.514355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.514355Z digest=sha256:6613c242dc39b04ab0113afd88e0b0accc666d9edc9f38ec7e986d06f470c9ae

Observation 0df5caee-b67a-4a7b-bae6-d20f5b040f86 · outbound

This paper cites Generative AI for Synthetic Data Generation: Methods, Challenges and the Future.

LLMs to Support a Domain Specific Knowledge Assistant Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.518962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.518962Z digest=sha256:833285ccb4981c9061fd75d67148c602974d8fd3b9390276c7461d3cdf3cfd98

Observation ba1a4a8c-fab4-4747-a606-963415401c19 · outbound

This paper cites Multilingual generation and answering of questions from texts and knowledge graphs.

LLMs to Support a Domain Specific Knowledge Assistant Multilingual generation and answering of questions from texts and knowledge graphs

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T23:35:39.952307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.523442Z digest=sha256:a82186e525259cd4c1f5d9bd6b0397230e8fb18a8e03be10dd81412121f153dd

Observation 6d8accc0-1b47-4411-a0ef-535d95b5c068 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.935620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.528041Z digest=sha256:4a89d1f25893673ca9d287de1bc7c9a473000ac26661da426daf15369135d0ea

Observation 61c1ae69-c818-49c9-9ff9-61a8f85b0bce · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.919763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.532790Z digest=sha256:48259830f1b37556144c3918e1b0c4fd4a90402e27b300489c7dc39a43ddfc10

Observation ec1a1047-3b84-4893-9386-b9dbbc650e4b · outbound

This paper cites Realm: Retrieval-augmented language model pre-training, 2020.

LLMs to Support a Domain Specific Knowledge Assistant Realm: Retrieval-augmented language model pre-training, 2020

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.537404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.537404Z digest=sha256:9c21075ebf0badc1082b1c94590185d235ba5bbf270d7b835ff6f0c24f1b41c5

Observation 85138e6b-6168-47c3-91f9-3c8a9cd3d409 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

LLMs to Support a Domain Specific Knowledge Assistant Improving language models by retrieving from trillions of tokens

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.542045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.542045Z digest=sha256:b5a5d5adaa34ad212beb21f9393292081661d74d428144a1b214aa6603ac7f41

Observation 836eb8d2-9f3f-46fd-bda8-b23a113d0ccb · outbound

This paper cites Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering.

LLMs to Support a Domain Specific Knowledge Assistant Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-08T23:35:38.855223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.547220Z digest=sha256:76467162f427c779bd0428354c5ec1bed96187d0c3bcd769cc3695af2a697703

Observation 16f78a8b-87de-4088-bc59-929d98aea557 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

LLMs to Support a Domain Specific Knowledge Assistant RAFT: Adapting Language Model to Domain Specific RAG

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.552220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.552220Z digest=sha256:cc389146d79fbd557aa9edadbc50084435fbb15d041bff2fd1a42e07f293f8e3

Observation 89480820-31dd-45d7-a623-caf3cf02e617 · outbound

This paper cites Finqa: A dataset of numerical reasoning over financial data, 2022.

LLMs to Support a Domain Specific Knowledge Assistant Finqa: A dataset of numerical reasoning over financial data, 2022

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.557353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.557353Z digest=sha256:0db592ced8aae25e8f81cf5ae21ef4a15404af04ccafc639932645f43089ea5a

Observation 21c71856-0927-4307-b792-412a0005e0cd · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

LLMs to Support a Domain Specific Knowledge Assistant FinanceBench: A New Benchmark for Financial Question Answering

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.561982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.561982Z digest=sha256:efd5e31eec36204dcfe19cf3b6402036a0529862a25399f71fb421e138fd2b1a

Observation 60edaad5-42ea-4339-b59b-ba4625cf44e5 · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

LLMs to Support a Domain Specific Knowledge Assistant BloombergGPT: A Large Language Model for Finance

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.567348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.567348Z digest=sha256:dec5424c451ffeaec61eddae1188040c175bbbcc1bfd6ba718612520a1ee28f8

Observation 3c393482-2741-4e2f-9729-7dcd2601ace3 · outbound

This paper cites Benchmarking Retrieval-Augmented Generation for Medicine.

LLMs to Support a Domain Specific Knowledge Assistant Benchmarking Retrieval-Augmented Generation for Medicine

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.572401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.572401Z digest=sha256:2d6d28fcfc6ee7a133f0cc65c629695c09f6c5122941f7238b934aeac946747c

Observation 6d1f4c25-5b85-4f9a-88b5-9a58c86bbed3 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.882101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.577555Z digest=sha256:9a2e3c723998c7c51d78bb70bb77f9c258cea4dc27ef0dc78c099f0bb3546fd4

Observation 861095ea-4984-4264-9847-1645a021c073 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.865269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.582741Z digest=sha256:63913eec963a68e2ab1127e9f77f90e9bfb1f6dfb13f74b611ee3c47e3b6fe8d

Observation fe48d70f-3826-41d4-808a-fd84d950e28c · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.849542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.587505Z digest=sha256:f4c08740b2c356d18be851585227a6a22ffc90880519c1f2b39a5d60c15c0877

Observation bb51e3bc-4659-4f2d-b43a-8c9af1b76ddc · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.834753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.592540Z digest=sha256:b259bdbbd13bd62017c269b34e8ba73be5616c93dd1094c2fc602cfd08d2e162

Observation cbc58ed7-74e4-4c85-8d29-0204bf76786d · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.820581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.596970Z digest=sha256:819e047b4ab686a2e4347e0e7955f2c11fa686c10bf44d0c65e8fa15116f9337

Observation 1677727b-491d-4cf7-82c8-b2761943ac88 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.806299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.601724Z digest=sha256:4f6845f1d35cf0c5ff29cbf4102dc515bffce6f6375a325a6d6cae6e3666b860

Observation 97562801-f0b4-4e03-8dca-8b87468d0472 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.791317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.606394Z digest=sha256:7d8206ec969c1adb017094402b0d6440a2e7574d39b92d11810ad05eb1b2c122

Observation 3cf1532e-7d1b-4d3a-b9ff-a5458a788fed · outbound

This paper cites Can Large Multimodal Models Uncover Deep Semantics Behind Images?.

LLMs to Support a Domain Specific Knowledge Assistant Can Large Multimodal Models Uncover Deep Semantics Behind Images?

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.610935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.610935Z digest=sha256:fcc20ef61828800fccd47d15d8c0f02d552bd1fe718dd0af52505a688459c1a4

Observation d8c04563-fad6-4eb9-945b-8a232d1c467a · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

LLMs to Support a Domain Specific Knowledge Assistant Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.615588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.615588Z digest=sha256:467bd057c198d73bc4350bf56fee2d30c019e9563b1c2d16c5d893007470a49e

Observation e01655ea-c89d-47d9-a698-fe3975f769a1 · outbound

This paper cites Lost in the middle: How language models use long contexts.

LLMs to Support a Domain Specific Knowledge Assistant Lost in the middle: How language models use long contexts

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.620208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.620208Z digest=sha256:43e25845d44333ad1ff1b5102b4e540c8a0a3e9ad65a8b174818b732f39266b9

Observation a97151ec-7e51-4f54-8d4d-435a85507f30 · outbound

This paper cites an unresolved cited work.

LLMs to Support a Domain Specific Knowledge Assistant Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-08T23:35:39.765019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.624815Z digest=sha256:42734975e5c67efc5b9ed6f53221a87b27418c558290605bce762e4fa138db8a

Observation 3b38283f-3143-4b8f-b5cc-24b16ec8eb03 · outbound

This paper cites Financial Report Chunking for Effective Retrieval Augmented Generation.

LLMs to Support a Domain Specific Knowledge Assistant Financial Report Chunking for Effective Retrieval Augmented Generation

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.629169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.629169Z digest=sha256:c38035350747a25ed2634987c346612cc4cb433ade91c8095d3e6f3a060a5315

Observation 32fb52ef-5a2f-4c05-b8f6-267594a9cc09 · outbound

This paper cites Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers.

LLMs to Support a Domain Specific Knowledge Assistant Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.635869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.635869Z digest=sha256:9e2c912595c790930e452d327b1101ab345ceb09e7df30b88073f20866090f1d

Observation d6ea59e6-3b5b-475e-820f-31f3b04bfe53 · outbound

This paper cites Precise Zero-Shot Dense Retrieval without Relevance Labels.

LLMs to Support a Domain Specific Knowledge Assistant Precise Zero-Shot Dense Retrieval without Relevance Labels

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.640373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.640373Z digest=sha256:ef9bf465c827ed5c6afc85564da7ac9b159c198f1d57372a5b3c3db7e13fe47e

Observation 064b0c98-8c3f-44db-99e8-da6000ab2f4c · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

LLMs to Support a Domain Specific Knowledge Assistant DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-08T23:35:38.644920Z

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source=arxiv_source observed=2026-08-08T23:35:38.644920Z digest=sha256:c29bba58735146feb62e95746febf2e05c027c52f8ef95896ad74b15d3f0df24

Pith citing papers

No inbound Pith citation observations are available.