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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 2026-08-20T06:33:59.587034+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

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

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

source=arxiv_source observed=2026-08-11T23:50:13.143309Z digest=sha256:faae1a4ba70bc84cc205bd4896db4b8406ab666626f7d833fa841e0e94cfc669

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

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

source=arxiv_source observed=2026-08-11T23:50:13.148940Z digest=sha256:9c629a1c4124a8d1ec8747d02d7934fa23f8d840cef40a001738201b0e0b50af

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

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

source=arxiv_source observed=2026-08-11T23:50:13.156515Z digest=sha256:05d22bb28ea23feefbbe4cac07f492413c3c5709e8e1d6884627b7e82e62fb14

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

source=arxiv_source observed=2026-08-11T23:50:13.158834Z digest=sha256:53780d7cbcea2d8c4b49d138298ef63ae1f379e1c9743b57c35cf17ab918677a

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

source=arxiv_source observed=2026-08-11T23:50:13.161247Z digest=sha256:8fde38e2cd59887d18958588d5684f74d6acf8112cf249f4a45e13281c9369d3

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

source=arxiv_source observed=2026-08-11T23:50:13.163965Z digest=sha256:3bc9a87cb49ce5b248b44b60deb044d578083d6bf31b23ba919b6c31868cee21

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

source=arxiv_source observed=2026-08-11T23:50:13.166485Z digest=sha256:ef199679948806124a88be97ecaaf391be4766ff4c11ad665510084e25591965

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

source=arxiv_source observed=2026-08-11T23:50:13.168826Z digest=sha256:6dbca8fbbfe6f1da6b25f3e8065dcf34f402cd7383a346a665f6aafc28c15234

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

source=arxiv_source observed=2026-08-11T23:50:13.171101Z digest=sha256:7df7a0983cc95de4012aa2f9ce2ff40464694a9b28c5247d21ae7dc53ea36089

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

source=arxiv_source observed=2026-08-11T23:50:13.175654Z digest=sha256:f313e8de10f424358b2a647f665c1ab0abc31b8de5b8fadaa8eb877646e05c89

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

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

source=arxiv_source observed=2026-08-11T23:50:13.183789Z digest=sha256:e79bb9b7a182ffb10aa9570f8e8c233d97436ceb9abdae88c607031df7a30f5c

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

source=arxiv_source observed=2026-08-11T23:50:13.187476Z digest=sha256:98d366f12c7f2fd3c5fdc3124970a4a7ac025b80337ade685a608f8473804c1e

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

source=arxiv_source observed=2026-08-11T23:50:13.189374Z digest=sha256:b4e9f22e29d6982df0ce6b6cb190951c3210c8f55069888686bbc3f48f6b3ad3

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

Resolution
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.