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Paper Citation Record · LEDGER

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.02149.

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

pith.paper-citation-record.v1
2412.02149 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:50:13.197441Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

26 of 26 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5c34127-09a9-4e2b-beb3-2c679002eabe · outbound

This paper cites Longformer: The Long-Document Transformer.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Longformer: The Long-Document Transformer

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.134377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.134377Z digest=sha256:4dd04921bafa6804bd8c9c5ab666248381724998f52a94ec6f57c13ad110f98a

Observation ec4f4e23-6434-4738-b60b-2b5698029908 · outbound

This paper cites Big bird: Transformers for longer sequences.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Big bird: Transformers for longer sequences

Reference 2

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unresolved
no resolver link, observed 2026-08-11T23:50:13.137687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.137687Z digest=sha256:1d00b61758c60f1a9a7d41ad30f05085aaf321cc4e9f7bbf552eb26a14157a91

Observation 844c76aa-9d9b-4eab-a618-c436c6954638 · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Thread of Thought Unraveling Chaotic Contexts

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.140389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.140389Z digest=sha256:ea25d768a8f237453e72663481b6f5cce62de4f7e2775dbc2441f088f42734eb

Observation 48c3788b-8c98-4c26-b30a-5c45699c5bc0 · outbound

This paper cites Comparison of natural language processing tools for automatic gene ontology annotation of scientific literature.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Comparison of natural language processing tools for automatic gene ontology annotation of scientific literature

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.370077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.143309Z digest=sha256:34b76d3a739ad5c3adcf9a912ece8a71847d235e834a0cff2ab6af742e88f9b2

Observation a66dfa29-3dc3-4bd3-abba-00964515e124 · outbound

This paper cites Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models

Reference 5

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unresolved
no resolver link, observed 2026-08-11T23:50:13.146176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.146176Z digest=sha256:a6a3c0649f94fe73dd4917eed1e7100928ec5996c91804643d731c0e466248d9

Observation f6f98f8e-61e5-4cac-858b-76dbb2fb0932 · outbound

This paper cites Deep reinforcement and transfer learning for abstractive text summarization: A review.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Deep reinforcement and transfer learning for abstractive text summarization: A review

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.363153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a535c2fd-8da8-42ec-bd79-578cf1e07154 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Unresolved cited work

Reference 8

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unresolved
no resolver link, observed 2026-08-11T23:50:13.154078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.154078Z digest=sha256:339fbac487d36a710766adbd992fc16b2bcc052bb7092726d8204ae1a52aae6b

Observation 785de478-9858-4666-b8fc-645528d96650 · outbound

This paper cites Longlora: Efficient fine-tuning of long-context large language models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Longlora: Efficient fine-tuning of long-context large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.355951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.156515Z digest=sha256:96291bfc65b35906cdde6dae1c6bc4362773703c0bf51b14ceb3a6f40d5f495f

Observation 88f62920-92a4-4986-bd5a-8ee2a6e1624f · outbound

This paper cites BAMBOO: A comprehensive benchmark for evaluating long text modeling capacities of large language models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms BAMBOO: A comprehensive benchmark for evaluating long text modeling capacities of large language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.348536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.158834Z digest=sha256:beef31452ef897a42fa4ba8917c12ad8b11687d8846a65a4ea4a2deda178628a

Observation 59af87e7-f67d-425b-b1e1-7f7f989b6e21 · outbound

This paper cites Content Reduction, Surprisal and Information Density Estimation for Long Documents.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Content Reduction, Surprisal and Information Density Estimation for Long Documents

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:50:13.237057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.161247Z digest=sha256:0ff12955019aeecdef7167aeaafa32799c9199f1fb1dc3b1ac4d68e26c509693

Observation a16aa9e0-c8ef-463a-90c7-62298b8ca1f8 · outbound

This paper cites Retrieval meets long context large language models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Retrieval meets long context large language models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.341790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.163965Z digest=sha256:ed8faa5813568d8783b810e26e894e782703cb19d3dfe26573d94673fb873524

Observation 4320e4cc-d4db-4b02-89fa-07c440b1e1a1 · outbound

This paper cites Visual in-context learning for large vision-language models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Visual in-context learning for large vision-language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.335854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.166485Z digest=sha256:a8428a4e9cb9aa8b63f47a940024fbe55de16002cf8c4c4190c3f3c7a4b85c3b

Observation 9d410415-4c46-45a6-9302-a20af1d4c05f · outbound

This paper cites Claret: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classification.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Claret: Pre-training a correlation-aware context-to-event transformer for event-centric generation and classification

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.329905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.168826Z digest=sha256:20bba3dd29753b87dbcbca3a3fc74189d9682700070ce91c129caa5d2c391bcc

Observation c82cdb11-61a2-4dda-ba4c-847b4d63fb96 · outbound

This paper cites Eventbert: A pre-trained model for event correlation reasoning.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Eventbert: A pre-trained model for event correlation reasoning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.322444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.171101Z digest=sha256:599a5a571cb3b7f896d89f46f6f403d6dd921de70ae62dd123acd882591d6d4e

Observation cf937d97-5f95-45c6-9abc-2ac5d32d0489 · outbound

This paper cites Towards robust ranker for text retrieval.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Towards robust ranker for text retrieval

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.173438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.173438Z digest=sha256:a1c00f3687fd4e87458bf03aba698174e03a7924d75336884f7a0feba9698e54

Observation 68b30886-72f3-4249-925f-8a355461a8d2 · outbound

This paper cites Fine-grained distillation for long document retrieval.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Fine-grained distillation for long document retrieval

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.311040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.175654Z digest=sha256:66b8264a211e80176a60aec9d8c0d21992aeaeacdbc7072fed24a6ee72e34fd0

Observation 9b956de5-eee7-47aa-81f7-c005e9887ed5 · outbound

This paper cites ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary

Reference 18

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unresolved
no resolver link, observed 2026-08-11T23:50:13.177384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.177384Z digest=sha256:f60800919b465746ab0d36dba49304ccdf5a13910b48605b41f0d82995728c49

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

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

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

Reference 19

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.179802Z digest=sha256:3d7ac244fba15fe22114c005312124a44bae610d3b6adec21050e59c2c324c95

Observation e47c251b-cdb5-40e9-8377-a9ad2daf11bb · outbound

This paper cites McKeown, and Tatsunori B.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms McKeown, and Tatsunori B

Reference 20

Resolution
malformed identifier
no resolver link, observed 2026-08-11T23:50:13.182003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.182003Z digest=sha256:e2b5b033c9c32684fdf94b86e8be043797f35730dc5779f794b120e2822b65e0

Observation 24a5ebc7-53c6-4e2c-9bd1-8ce61b33e251 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:50:13.303496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f1a81557-149d-40a6-9313-8f2dc243107c · outbound

This paper cites Retrieval-augmented generation for code summarization via hybrid GNN.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Retrieval-augmented generation for code summarization via hybrid GNN

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.296508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 40f74dfe-1519-4f68-8cb2-000e650d2e9e · outbound

This paper cites Improving zero-shot cross-lingual transfer for multilingual question answering over knowledge graph.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Improving zero-shot cross-lingual transfer for multilingual question answering over knowledge graph

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.289126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.187476Z digest=sha256:dcb75879c63f35b6245238c3d5d4a25e9a5ab594e39dd9302b9a3548cdf96098

Observation d38f0ba7-c917-47bb-82fe-4c34d53fc9f0 · outbound

This paper cites Modeling event-pair relations in external knowledge graphs for script reasoning.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms Modeling event-pair relations in external knowledge graphs for script reasoning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:50:13.281693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-11T23:50:13.189374Z digest=sha256:02c600181749f43bae62f205b1082b8c81008882953d2284eeb9d4d863b49be9

Observation b1fca660-dcbf-40ce-a0a5-e30903206d0a · outbound

This paper cites The dawn after the dark: An empirical study on factuality hallucination in large language models.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms The dawn after the dark: An empirical study on factuality hallucination in large language models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.191800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.191800Z digest=sha256:e4c0ce7a6adeee0f029106cd25c6e2c250093a69e410725c1c5f4cfa7b2d0b16

Observation b3970738-4089-4f85-9f2f-990766bd395b · outbound

This paper cites URL: " 'urlintro :=.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms URL: " 'urlintro :=

Reference 26

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unresolved
no resolver link, observed 2026-08-11T23:50:13.194318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.194318Z digest=sha256:939148ee70063b4995fab3739206301526b3a9a606d2b93ce4a171373c9401b2

Observation 2be527b9-cef3-4b78-a120-a13982aaeb29 · outbound

This paper cites write newline.

Leveraging Large Language Models for Comparative Literature Summarization with Reflective Incremental Mechanisms write newline

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T23:50:13.197441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:50:13.197441Z digest=sha256:bc1c5559c957ed02cd525c9085dc0cf47a42ea6867a8f3cab7e02bcbe3be2d85

Pith citing papers

No inbound Pith citation observations are available.