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Paper Citation Record · LEDGER

LLMs to Support a Domain Specific Knowledge Assistant

As of 20 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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.270430Z digest=sha256:1823f92d72a1f615caac93f632d77f6de4ddcb44cbfcd03d6cae9a26253c8c1e

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

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.276668Z digest=sha256:cbaddab2d6cedf4e1181e5fff1797c4de95da2a5cd26f8c15ccddbcf653c6b6d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.281821Z digest=sha256:2ad51ebf410a6f023f01675ed240035abeacfecfcffd75a08dcdb9e0b6dfd553

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=sha256:8f90c14d2e883cd04b1f1901ef6b316c94cef8308d48eb3cea09b7bf1ff0bdec

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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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=sha256:3d62d74704d157e4ed8f8e3aeaac79ff35232580f122173bbd288ce8ae5fca98

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:fb9b707aa299ef2ec0aecb2a7f1148b06d855f712589d866dc2e790420b97a75

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:c01543ef319b5325798835508173cb78bd95ff5921ff4c9012da6c840b9f9ace

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:f3ae59961f46763a9b81dbcebb197839ce316c00afe1148d793f2e4f44b345d7

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

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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:ba6f9ce90f89021b8f76904a05a918e7219ed2f18742b1f376f11f7db2a71f07

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=sha256:28539aa696959a0b947d59432faab068d06509a0c54c6b948409d7c40e4e17c6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.322461Z digest=sha256:00f82c5e5ff22686b8f49bdcdadcfca5fc80275ccffe68c5dc7fd1ec157a63ce

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:aada93080d19474e085ea3b534aeae408b0649111b05b21f2484a00ca130ec6f

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=sha256:917534440a5c9e021b2ef53b286bc8fa99d913ac112674d23c1937931df516ea

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=sha256:76c13f5459e396799ff472c389fe4c8e392cb7fb8dad86d2bd95308e74f9f57c

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=sha256:2c204086f307605aac025f6fb7e33d856855bae9c997d8ae952826f088ba2768

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=sha256:491c9d1ca7ecede4d491143bb60c7292528daadc4c608f8fb708e4fa9b9b1f5e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.352154Z digest=sha256:02be0db1e431871e1be7021610ee2c0907cbe40713ae35e7306d98b539a0a2b3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.357063Z digest=sha256:85f96444af91fe20ff70460922fdd63d02861db75a27ffd9eb08280105233bea

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=sha256:39ff0867118fcf0fc602cdfe4166edea87be22b2cc904bbec22454f337a7aed2

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:ba88c1fc295636aac78dc14d355726a5564a9285b727c873e21cbb3b34b99fcb

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:d1115a30ebfde97221c61ade6db1180f1b4b75a474990040243ce69b6c2c0218

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:a8770442b95959319aa6697df7d57a3426485ffbde367ed8b0823eecf097d93d

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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no resolver link, observed 2026-08-08T23:35:38.381289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:35:38.381289Z digest=sha256:d7db1f0fbb19b20033f7699d88a51b8efdd517070524dae55e7a4b75444e3eaa

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=sha256:0fa152c5e5667272018331559043180e5ba9c7ba41f53365c512d584c94b86d3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.389438Z digest=sha256:8cf61ee46176b2432dfdc722a2035a404d4d262301f61bba437fe04203235223

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.394298Z digest=sha256:cbf6feb9293cf12f67a3a7738525196e16c59978da016505136ba33b789f736a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.398657Z digest=sha256:c050cab79716cd216c516a0efdf78033748d2e658a134ff941e50099044f0e30

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=sha256:38baf391088a994565d97fe03c4a732eb467e16abe070b1ceb777712302030ce

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.406672Z digest=sha256:437068a1c3e2b63e4bc97049c4128e0c56998a6f99f5dacd1a0ac75b4084dd4c

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=sha256:2652a9ff09e0a959120a8305522f6a9bfd5ad7de42237a8a661aef2edadcd43e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.416925Z digest=sha256:87f4b8c4b7c52d452ffdc28b859a2dce883a3bca9ee482aa868118d7d041c203

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=sha256:4af0d7967b306b60b8a281d11db444dcd7750532bf957b9c1ee3aa1c0dd5ae4a

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:ae6cd16fef2d415f233cffecfdd587aedd31820b9b6c8594b02be8bd85d84109

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=sha256:7cff9941aa18ebf42f12aa4d7db469ae777e0cb68161470bff47547babbc7544

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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unresolved
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=sha256:8cef0335b96614998fd522c77ea57403aa99871ca86043cbf61fc04ea3232098

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=sha256:0febffb566fbd2fe24aa04a9dd86a778c228cdaf5fcdd1af133ca948cf310428

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=sha256:7a2ec7b1eb14bc880ea92ad0ab9c4847a9b763d340d044ab3cae3a8ae754122e

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=sha256:4b5a47c56848d1c0359d00d8d57f2b771c97ffc90d89a613b91fffb24695377c

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=sha256:3e24a7cb2cb5b99a9415a291aa45974aabfb9b3e40de929395f508d5becdde41

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=sha256:8cd6d3f9ea999f28779c6f2de3262a3982073ba2565332c4343b155bd6e5b87a

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:be480b4dd9bc0c6c72be68d53ed59c91b60a62928d97a985c576d215c1a6de04

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.472371Z digest=sha256:0876fb309d1a37efc89a2b0cb4f885b10f42dfafa0be3ba6b4a1c7911d73f452

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.477003Z digest=sha256:2b470acffe61978a649b9643834592a04b1330fc109a887cc86bea9280693c84

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=sha256:43e53d1cbc31c3b07692ff53d4af3823a33b25df1e11c53617731a287cc1b8d7

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.486640Z digest=sha256:30460e2b8ac536a94d300ff63b0d83945800a0d8989fc33a1103c6d242f66ace

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.491306Z digest=sha256:6f3f228045c38722a669667cdb7635dd82b498edf10277889012c6c85d728a39

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.495819Z digest=sha256:51666eaa9538e7e4156680cb2cd56ec4cc1292bf5dc141def59f99e0f719454f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.500502Z digest=sha256:c77a166b2cc6c0310529bf68014ffa5501c508094558fedb9ffff3b36ff1f7aa

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:c59959b89ff744cbd61ab9f603cb5588836a7c41e04b96e72b97e9c7c919e8d8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.510106Z digest=sha256:e7be98200ea066321c42477c9e3a5b73af0fe3f3e87547a80fcde0fe112af7f0

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=sha256:07871d1fdbbaf106a50e16fe370ee17ea3fb414c79c866e01779021d2c371d2c

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:f3e3343ad802b023b0c9d435738db50e2ec3e640a9a448d9d55d4c61538cc6ec

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.523442Z digest=sha256:98a585253883afe87db1dc6704f1230bea023d00eacda03a435a57e778804fad

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.528041Z digest=sha256:487f498f4c55c0b36f2c765c1a341179f8f94c9cfa220ed0b62f477774fe81cc

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.532790Z digest=sha256:569898c9fb3fd5cbd771bb06fc15d9f31f81c7d1ed5259746235c3e500a77964

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:ee28dda25252dec49efbf7e77767b9530cfa079eab4eaaf5194ec3558b88c568

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:f110f4974d63ea148581c221eec1ed59d1376bcb92944214737644d16598582c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.547220Z digest=sha256:40f6c6e026c3abf93e6fb1e11f0bcbe7417483f8646e06d71215dde912b55423

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=sha256:4d180c14215eadc7ffed61bc801a71f0427e936eaa6db026dbcebf9e2893f0aa

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=sha256:7e940c334be06574a61bd65483a1fa024dc9fe47940b1c09f541412418ccafd6

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=sha256:4a6b5ac259042f49d36238030d75d4f12a885a6d22fc574733d8798b7abe2f24

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:adf82202e43510bdcc34ae60ddb8e1a8e77ae762444a8ae4e4684c56ee69ada8

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=sha256:3b5c85c79d2e207cf0e95fe922e0ad5493a637ee7602aa4057a882e764f1b8ff

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.577555Z digest=sha256:be3ef3b3b9ca3d7a668cd4f9fb43ca0ce3dbef5f7dc1607878b3fefdf47823ff

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.582741Z digest=sha256:6e05fdd19a444b374f8d6db580087db7f25716c2ed41487eda67affe8e67a47d

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.587505Z digest=sha256:5ce98f46bd704092b938a730a75211d8ea3db1b8d2023c5b5120c12a33a76da6

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.592540Z digest=sha256:c43ebfd5b1b9075af618ae50b56a89c9e71430264b1d520cce5b46df0c428b30

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.596970Z digest=sha256:a668f15e570b22683a811ecc5e77abf4e09a8c263fa540ba02d56366fb067c05

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.601724Z digest=sha256:151b93c0457f6c206a19ef328139b516ae340797078697fcc88b770d744582b2

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.606394Z digest=sha256:59e3bde377acb7b2393894d25cda4513190fdf83759de2a1f0dd16713a88db0e

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=sha256:53b1f71964f355c9ee3ec4b3865ba769cb74704e2d1d0415ec7f59218f79a215

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=sha256:686f710a98225348446969e40b0f1bff978f01c4b605d43037711c79489aaf96

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:f3443ca4c938c26ede1e35cc9be8a187132b62b0b87468eb7e0a5de19dfcbe7f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-08T23:35:38.624815Z digest=sha256:62990ca8b024135a7b5fcf2cebc4799bffb9c35adb915ad3931880f21733a2a0

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:b8902866a8cbcb0a6c91e95da96d3c4fe1d59385bc99162e71d9bc5c1c422be6

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=sha256:186b3dc0aa1839146e6fcda15e6dc0d7aa240ba38d7f7653d46385aa665564dc

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=sha256:0cef791b08f86d58cc0c9f53c47591b7219c797640d3dd522b98184b493e88ec

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

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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=sha256:788e5a54961ed13ff1ba1d3b66cb3ca96f46dcb5ff4684be30a41213ace2d792

Pith citing papers

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