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Paper Citation Record · LEDGER

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization

As of 8 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2509.09852.

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

pith.paper-citation-record.v1
2509.09852 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:37:55.135579Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

70 of 70 outbound references displayed

  • verified exact14
  • verified fuzzy0
  • unresolved56
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e123040-9366-4020-983b-51a442345df4 · outbound

This paper cites online" 'onlinestring :=.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization online" 'onlinestring :=

Reference 1

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no resolver link, observed 2026-08-04T18:37:54.932687Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:54.932687Z digest=sha256:ec7da1ddaf08af09599b60ec9c88af5f24a8d8d9765f94e14ccdc34102793030

Observation 27993617-efa5-4f0e-b5ac-856b4ce47c5b · outbound

This paper cites write newline.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization write newline

Reference 2

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source=arxiv_source observed=2026-08-04T18:37:54.936434Z digest=sha256:ff3908e097b35105c1ba77bb232c781df4d1d14dbb19a1b067a35f29d6728c0d

Observation f128fc74-26d0-4476-9f12-0b228d9821ce · outbound

This paper cites GPT-4 Technical Report.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization GPT-4 Technical Report

Reference 3

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source=arxiv_source observed=2026-08-04T18:37:54.939573Z digest=sha256:686f7062bdc86f734679d8785d67206aa61a89770e4704dc02f6f30d1b828013

Observation b0755606-5acc-4dcc-a2a3-b1a49886d1c2 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 4

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verified exact
doi, observed 2026-08-04T18:38:37.849504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:54.943368Z digest=sha256:81a7dbb48e6f302eb9af743d9dabec28337fa42f99f66c1a534f650cc353111d

Observation 84482a07-86cd-402f-b69b-e7bf781c5ddb · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 5

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source=arxiv_source observed=2026-08-04T18:37:54.946479Z digest=sha256:8869e823e0f9dc72c5aecdd0d86359f47f1bb434f28985179e9b70a52a697987

Observation 6bac725c-2dfd-4067-a0de-60edad493e92 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-04T18:37:54.949353Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:54.949353Z digest=sha256:8ebb06272fae0eb3e34ee49deadd548fc404a73e5a3965d9b37a5d57e18ed1c1

Observation 2f9031bd-2279-46f8-96cb-c5ba6b264c04 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-04T18:37:54.952230Z digest=sha256:f059e19da8179b9e655eb0f351d4a9b70dac15eff568548e75e2f8deecc2d8e9

Observation 69b96d60-dddc-436f-b416-65c226628a09 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-04T18:37:54.954972Z

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source=arxiv_source observed=2026-08-04T18:37:54.954972Z digest=sha256:1ac2507f2b09882508611544e7579dd0dc62c35415535bfcf17e68bd91fa2204

Observation 9f03312d-a6bb-45db-8d26-3654c45724ed · outbound

This paper cites Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing

Reference 9

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source=arxiv_source observed=2026-08-04T18:37:54.957762Z digest=sha256:45329c50e160e9760df0a423a8a0c29c5adbc37c97c0ef6f6412201af5bd302a

Observation 3f180606-5c0e-455f-928c-3628b7ad95d1 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-04T18:37:54.960678Z digest=sha256:763e1011bef4b9f464709b4cab226f52fc9c9b991b3097b965c9defd1cc047c3

Observation ebef1b7c-0fa4-4f6c-9492-7ee9d67c2a5d · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-04T18:37:54.963685Z digest=sha256:fa5a31ca78ac2a65157fc4a66b7b20e15b16c6a8a17c429d7b520c4781361b31

Observation 5ee19763-2fda-4180-b3eb-ed0b45568f26 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-04T18:37:54.966778Z digest=sha256:79e7f0066964d969f350a3e7f04e998c91db041fd30d5e45f5e042c3f3a53153

Observation 87c8324e-1f07-45f8-89f9-2bab5c376c56 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 13

Resolution
verified exact
doi, observed 2026-08-04T18:38:37.587206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:54.969438Z digest=sha256:d70584e175a4a04944a5c206e2245723b1aecba56af5baa09aa19fd11dd73860

Observation b58f3bca-d430-4843-a8f7-903986b2ace2 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 14

Resolution
verified exact
doi, observed 2026-08-04T18:38:37.364754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:54.972095Z digest=sha256:22a14b388718f84ba05bb8c7537e1ef39d1161f2f1b6b995110a3a83d7f5bee1

Observation 696e8f3b-6d18-409d-b7a8-1d164d77626a · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 15

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verified exact
doi, observed 2026-08-04T18:38:37.095082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:54.974580Z digest=sha256:6b2fbfba891d23e64ad6027dcaf43a9eec7fd4351abf7cff28f1319a8a22c6fd

Observation 975b36aa-6521-41e3-a5a5-488fbfca7ef2 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-04T18:37:54.977345Z digest=sha256:430d0033cc4a8fc6f9a4571cef407ae8a3bae993ccc7875ccc0cdfc86d7d167b

Observation 6d22f3e5-f712-4746-98d8-b8d87e9cd9d9 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:54.979830Z digest=sha256:32df3beb0791d7251f571dd606bd0b4627751d4fc0fef4ebcc40e279304b2914

Observation 37e21761-9b5e-47be-9f79-9c5c03828ead · outbound

This paper cites Fabbri, Wojciech Kry \'s ci \'n ski, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Fabbri, Wojciech Kry \'s ci \'n ski, Bryan McCann, Caiming Xiong, Richard Socher, and Dragomir Radev

Reference 18

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source=arxiv_source observed=2026-08-04T18:37:54.982476Z digest=sha256:e87c53f2e9238aa8e1e943220045e91930a1bdd6c74b18b53278def9517da235

Observation 421dfb8e-d071-4007-a586-65ac5c2668fe · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-04T18:37:54.984942Z digest=sha256:56efcfb5072056b268422041433ac9e23a9817a268a5d08d6eab74b62e214345

Observation b2c6daf1-39df-4610-a389-969a778a8e28 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-04T18:37:54.987609Z digest=sha256:513efae6311c28a0597dd9c5204d45574c7ac140e4a92f8c0d5e1326f12f079e

Observation 446e852a-244a-4e6c-bc67-66de2cc7e1d3 · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization News Summarization and Evaluation in the Era of GPT-3

Reference 21

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source=arxiv_source observed=2026-08-04T18:37:54.990198Z digest=sha256:257096534080206e904ea1c6b3db6907c2b998b60d9988d9d7e1f4f3c43d63c1

Observation 80bf3e19-b4e1-4a6a-93b8-f3710be16860 · outbound

This paper cites The Llama 3 Herd of Models.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization The Llama 3 Herd of Models

Reference 22

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source=arxiv_source observed=2026-08-04T18:37:54.992933Z digest=sha256:2d4e0ebc1ed42c7fd5e9b1be1f5918bc6aaba6124699b80e860748ce03e13c67

Observation 92e92acc-aa21-4e98-8d4c-d0c1ad36ac6a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 23

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source=arxiv_source observed=2026-08-04T18:37:54.995858Z digest=sha256:523140c4e74864edcd78774d4f38e6d5b79bb386febf733efc3dc4b6c1d50ad3

Observation 4776e303-3c22-4f8b-91bd-12fea2435057 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-04T18:37:54.998862Z digest=sha256:7e32b56989b88c9b015404850bebd3fb0aea80b336b592e89d658429fe17f67d

Observation af72a5e7-d8ce-4481-bf26-930279b87571 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-04T18:37:55.001384Z digest=sha256:8f35ad31d3f87ee7b8dfecdd750f322f0cb7fb7e3b144dbdc15ae65fcbd8f58a

Observation 6790c909-fc2d-49c8-99be-36b19bc76b6b · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 26

Resolution
verified exact
doi, observed 2026-08-04T18:38:36.807053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.004152Z digest=sha256:8e8e2c1e785394f44dd658b5934f366be25ee22bf21cb77df279f208340dc86f

Observation 2d1f07e2-faa5-46b2-bf86-d53453a363f4 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-04T18:37:55.006942Z digest=sha256:65ad50232e7a2b0bbf98e38a0067b3ff847d3544f11c17e4ab5f3b8b68ad1070

Observation 9f9d56fa-0d3a-4bb5-8269-43081ee147d5 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-04T18:37:55.009873Z digest=sha256:1d65e97ccde8e8bfc478028a2026ee9575631db5f54c8799aa94b0be4311d971

Observation 3f69425a-aca1-4eda-9875-ef5974256a33 · outbound

This paper cites Bennett, and Marti A.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Bennett, and Marti A

Reference 29

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source=arxiv_source observed=2026-08-04T18:37:55.012568Z digest=sha256:24f0dbb20f92015e3b0c874f0ccc4b6ef052aa3c5c32f36ee4ffcc4dedfc0793

Observation 0e7d8c55-932c-4778-ade5-0a0706551ca4 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-04T18:37:55.015112Z digest=sha256:cb8c053d911283351cdb39037a403f68edae267c9874c8d9e15c645cac339a7f

Observation 0206c315-5aaa-4b53-a9d4-9b59e0ade36a · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.017730Z digest=sha256:f507e81012d22b91b7019d27d82b3259074dd871544d214edb0be4876ab1e350

Observation 717c806a-2536-4e8b-a504-769dc2b345a1 · outbound

This paper cites SEAM: A Stochastic Benchmark for Multi-Document Tasks.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization SEAM: A Stochastic Benchmark for Multi-Document Tasks

Reference 32

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source=arxiv_source observed=2026-08-04T18:37:55.020402Z digest=sha256:384a3585c351699f21c1a865cab1a8917875a8725eee5606638c52bf24776f60

Observation 72c58c4d-59f0-4fa4-92ec-ea96918066ef · outbound

This paper cites GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document Summarization

Reference 33

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source=arxiv_source observed=2026-08-04T18:37:55.023204Z digest=sha256:126b525fc5aa97620fc098b3d62033b44c8c8d048765c131ddbcf3cf4b6fad6e

Observation 6a2ede43-cee0-40c0-ab69-5aaf3d5892ce · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 34

Resolution
verified exact
doi, observed 2026-08-04T18:38:36.595083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.026081Z digest=sha256:216d516db9cda08a8e91e771170e006362542cd24d81fd863382ad29cf33f252

Observation 7b848fed-d031-43dc-a2da-63ba045eb01c · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-04T18:37:55.028884Z digest=sha256:a8d5985814bc671b2c5f8f2cfca080712835d7dd92028fee890822284b0feab6

Observation 2dce4749-bc08-4832-8204-142c7b39911a · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-04T18:37:55.032881Z digest=sha256:a4d675cf43ef9e68d55f42207fe473ae1cd444b53d0f8caec10cf727f338dce9

Observation 11747713-c908-4d51-8da4-cbd69aeccd2c · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-04T18:37:55.035809Z digest=sha256:8e0db3e41e689441d4f3ce78aec923f301ed4cbd198d8c8713c45b575cee5e76

Observation 5ff71bd4-001f-45a6-8541-5f3b0bf2abc3 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 38

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verified exact
doi, observed 2026-08-04T18:38:36.259147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.038835Z digest=sha256:654f4d94d9112af7a86367dd5cfccdd179d5742ed1b2accafb35113858813890

Observation 44321e29-c492-4ee9-b791-fa52cc38e411 · outbound

This paper cites Cohen, and Mirella Lapata.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Cohen, and Mirella Lapata

Reference 39

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no resolver link, observed 2026-08-04T18:37:55.041811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.041811Z digest=sha256:2ef9e34154873edc393603b5aef31acd9a27c5ed44c15e230d571c0902f9b9ee

Observation 27b3038b-bae4-4424-b3e9-46688c524050 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 40

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verified exact
doi, observed 2026-08-04T18:38:35.971627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.044736Z digest=sha256:55ede328f154ae31999cb278fb9bb950d093b6a11fa7d4b34c3f41ba689e47b2

Observation 7064efb5-4bf1-4e24-a00e-6e72033e47df · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 41

Resolution
verified exact
doi, observed 2026-08-04T18:38:35.618144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.047558Z digest=sha256:e78bfde167d10524cca8e33838a290ef9dc93bf66d93dfe4fedd12c1c2ee107f

Observation 4b3aebdd-b2b9-4dc6-8030-e1e6da2ff6fd · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-04T18:37:55.050560Z digest=sha256:2e1de7ce2757f8c949d561e4075ed9a5a73d720cd6521d3b4c9047f1bd24dd47

Observation c6066735-f05a-4039-bcf1-9aed73fd030c · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-04T18:37:55.053462Z digest=sha256:74a10d1579ca72c42f2a6a28e6a27b0ddbd9552dc4d20d18bbee61cdcec2e4d5

Observation c49137ae-d8a7-41b1-9082-c5d208cea82a · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-04T18:37:55.056385Z digest=sha256:3d96321f0c2b0bce052ac31439a702b259459f651046c4c0827fd46248339dc9

Observation 54f471c4-7be8-4554-9538-268f18abd4c6 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 45

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verified exact
doi, observed 2026-08-04T18:38:35.341165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.059321Z digest=sha256:59491a16b819613a382e0160d2139e593b2cec4ce957a2bb71ae896c30b96605

Observation 0ec0d66b-abd0-4759-979a-6c0e10ddd27c · outbound

This paper cites A Deep Reinforced Model for Abstractive Summarization.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization A Deep Reinforced Model for Abstractive Summarization

Reference 46

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no resolver link, observed 2026-08-04T18:37:55.062279Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T18:37:55.062279Z digest=sha256:eff9f4acb08ff8173de485b2adea42030960001d0d8b2a0718c2502dcc27b581

Observation 7784c14a-3e16-4766-94e0-9b7e058ffe37 · outbound

This paper cites Qwen2.5 Technical Report.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Qwen2.5 Technical Report

Reference 47

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no resolver link, observed 2026-08-04T18:37:55.065414Z

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source=arxiv_source observed=2026-08-04T18:37:55.065414Z digest=sha256:86896c4468ff8e42adb662173055a43cb2d2b787ea389d5db11df2da1a91024c

Observation c9dd77dc-ef2a-49eb-8834-b91814cbd7a9 · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Sequence Level Training with Recurrent Neural Networks

Reference 48

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no resolver link, observed 2026-08-04T18:37:55.068718Z

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source=arxiv_source observed=2026-08-04T18:37:55.068718Z digest=sha256:183b70c49e8ce794cc5db946602f2151c8ef1804851f7f8685a49e202f1a58ba

Observation 6f250e1b-5068-46a7-b9d3-53da7bdfacf4 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-04T18:37:55.071711Z

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source=arxiv_source observed=2026-08-04T18:37:55.071711Z digest=sha256:16583366cbff811541b3b902c20aaf4f0873faece79911b8c1d8231546719781

Observation 69a57bd8-8660-4b6a-95fa-31b852380ddb · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-04T18:37:55.074475Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T18:37:55.074475Z digest=sha256:5fdaafc4f295b756528bcc24728882de65716836996a7d32ec6339199ecc1a4d

Observation b1ce5533-43a7-40f0-a93c-156ed7d068d5 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 51

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no resolver link, observed 2026-08-04T18:37:55.077493Z

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source=arxiv_source observed=2026-08-04T18:37:55.077493Z digest=sha256:d270d19e5b81d9454b2d60ac21d5e3b33639a32759907f7feff5a8f1e34dd3dc

Observation c4d1ed95-af16-43d8-939d-4f0900b872e7 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-04T18:37:55.080609Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T18:37:55.080609Z digest=sha256:28927c6126bdb660441bfcf163252e6e4951bcf2e7d38da0bc35f65861bb0457

Observation 418c39d3-aab7-4bee-95c8-38b5b7c78b90 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 53

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no resolver link, observed 2026-08-04T18:37:55.083675Z

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source=arxiv_source observed=2026-08-04T18:37:55.083675Z digest=sha256:81ecaf3d6f90ee60884442859413a0ae00c63e4a6a7cde16e6debafbe763c316

Observation 9db541cb-f7f2-4e76-bb7c-85a6cc3f2790 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 54

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no resolver link, observed 2026-08-04T18:37:55.087039Z

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source=arxiv_source observed=2026-08-04T18:37:55.087039Z digest=sha256:8fbcfe54a8ad3e46000787a3ee61bc81b8161b41f983466081a6e0bece9bf3d0

Observation d29818ca-1d02-4479-90ab-6750604282ca · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-04T18:37:55.089841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.089841Z digest=sha256:5afc9b51832023781a159c2f209780297cd30839ea5c2027affd8e8092e1e901

Observation c54f623a-50dc-4002-8d6b-2255c17d4676 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 56

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unresolved
no resolver link, observed 2026-08-04T18:37:55.092759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.092759Z digest=sha256:5bf3d13797d66273478980402f02146264cffb0494f9db379cdcd76afc248cfa

Observation db04bc93-9e02-44c6-8b9e-081f2e92d736 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 57

Resolution
verified exact
doi, observed 2026-08-04T18:38:35.073844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.095671Z digest=sha256:d5e029e01b7957054f09e444a05562a9d12810a5b3c5181e963cbb4a0c7290a7

Observation daca5df7-61c3-4c2c-8934-051794284935 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 58

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unresolved
no resolver link, observed 2026-08-04T18:37:55.098604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.098604Z digest=sha256:0cc92a7d0eb9231a9c2b33871aa22c6a79fe6031f327fc83283169db4636280f

Observation 528af9c1-db35-47db-bf29-2ccf5acd719e · outbound

This paper cites Direct Judgement Preference Optimization.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Direct Judgement Preference Optimization

Reference 59

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no resolver link, observed 2026-08-04T18:37:55.101448Z

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source=arxiv_source observed=2026-08-04T18:37:55.101448Z digest=sha256:de60fe0fd33a26cb23465279373cfdde25f0fd08b7e1b60141e181fde56000fc

Observation 754482f6-c45f-41e1-88bc-7ce5e905bb45 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 60

Resolution
verified exact
doi, observed 2026-08-04T18:38:34.804247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.104698Z digest=sha256:27cc717270c61711d7718e61c06ad86aaf42e158cba547c117934b6e484b508b

Observation bc0a04bb-806c-4c86-9429-004e5d9072c3 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 61

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unresolved
no resolver link, observed 2026-08-04T18:37:55.107685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.107685Z digest=sha256:c022e7796e4b4f73bf1ab5742abfb8b34bffe2b094a27c23af8b43c9211905bd

Observation 9e31c8f4-5b7c-409e-abd9-6aa17d7d0e82 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 62

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unresolved
no resolver link, observed 2026-08-04T18:37:55.110523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.110523Z digest=sha256:b2d887bf881649b78d4132e6bdd9c7c378c5acb0fc3e2f3a771b536c890ba241

Observation ec560527-21b8-4fe2-9980-9ae44ea49c45 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 63

Resolution
verified exact
doi, observed 2026-08-04T18:38:34.590690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.113515Z digest=sha256:bcc772d206c43943dd3433d0143c5d00235620d920c551f20fe037648963b09f

Observation 0e799114-89f2-4c3a-8d64-7dd523fc60eb · outbound

This paper cites J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization

Reference 64

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unresolved
no resolver link, observed 2026-08-04T18:37:55.117220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.117220Z digest=sha256:b6a4955bcc6f205e3236b223518568c5f563ed882d2282741badfa5055b20d2b

Observation b0841bb6-ce8d-4f04-bc9f-f1a733a6e8ed · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 65

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unresolved
no resolver link, observed 2026-08-04T18:37:55.120683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.120683Z digest=sha256:ce13c466f8f07d1bfda7dafdba2f00206575f010139601e2c313b17e0b9083a4

Observation 434f5123-a3cb-4176-b0fc-b3c21c961028 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 66

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unresolved
no resolver link, observed 2026-08-04T18:37:55.123359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.123359Z digest=sha256:ab202d4a0ab10d2441b48ed4da2ef34bfb25d9296d745436e8dd8ed7b4491a25

Observation 9b83dc87-1769-473e-9fcc-9c45b4f6513b · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 67

Resolution
verified exact
doi, observed 2026-08-04T18:38:34.373693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-04T18:37:55.126196Z digest=sha256:b1f8b903bfbfa5a3e41b3487aa7a2723eb1a506017ceebf699a80006d1883429

Observation 6b02f4cf-8c24-475a-8010-0af7e54faa1b · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 68

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unresolved
no resolver link, observed 2026-08-04T18:37:55.129913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.129913Z digest=sha256:63f9553ecab3984afa5f832951ea6accfc94251cf28ee37d966d0983db684d3e

Observation 68d76a46-569a-4e2a-9a14-24f3997134d3 · outbound

This paper cites an unresolved cited work.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Unresolved cited work

Reference 69

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unresolved
no resolver link, observed 2026-08-04T18:37:55.132929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.132929Z digest=sha256:ec85b096a6510f7ada2674368c0961c95fdf84933b15af694105b732b2733ba3

Observation 46569963-e6be-4e24-934e-02b481e9ec4b · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Topic-Guided Reinforcement Learning with LLMs for Enhancing Multi-Document Summarization Fine-Tuning Language Models from Human Preferences

Reference 70

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unresolved
no resolver link, observed 2026-08-04T18:37:55.135579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:37:55.135579Z digest=sha256:ed46bd659e8d0be2c7cd98df7af53d214ce73a8e496c8b6c28041483b4017abe

Pith citing papers

No inbound Pith citation observations are available.