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Paper Citation Record · LEDGER

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization

As of 15 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.03655.

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

pith.paper-citation-record.v1
2608.03655 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:17:12.415810Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

59 of 59 outbound references displayed

  • verified exact13
  • verified fuzzy6
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0bdef60-67ad-4383-96b3-039ffaa09922 · outbound

This paper cites Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling

Reference 1

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doi, observed 2026-08-05T15:17:12.678535Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.241561Z digest=sha256:fd9267afa675707d4bf60b95b4c0b250b80339ed55ce543bbcbaf54af956dde2

Observation ed0818a0-480c-4a2c-b4bb-5082501b913e · outbound

This paper cites BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization BART : Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 2

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source=arxiv_source observed=2026-08-05T15:17:12.245098Z digest=sha256:a8b4e4ea7c17e44bb324728eaea0084157983fdab1fa58582c3e67f71f1e6cc8

Observation 91bb2c49-91fe-4af1-ad19-5015505aaee4 · outbound

This paper cites 2026 , eprint=.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2026 , eprint=

Reference 3

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source=arxiv_source observed=2026-08-05T15:17:12.248531Z digest=sha256:85a5ae8f9afd4468399be936138fcfbaf41ffb22c45b387e2063fcf841aa2207

Observation dfc6da6b-c7b2-476f-9aa0-ba217bdda616 · outbound

This paper cites S im CLS : A Simple Framework for Contrastive Learning of Abstractive Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization S im CLS : A Simple Framework for Contrastive Learning of Abstractive Summarization

Reference 4

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source=arxiv_source observed=2026-08-05T15:17:12.251504Z digest=sha256:f7d8803e1836f8acb74264a4b5387b198d131f7d876802b5ded9cba826532477

Observation 4a7b902c-c709-42bc-b6b8-ad1e36276898 · outbound

This paper cites BRIO : Bringing Order to Abstractive Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization BRIO : Bringing Order to Abstractive Summarization

Reference 5

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source=arxiv_source observed=2026-08-05T15:17:12.255697Z digest=sha256:9dade264a95761bbe625d9db83f9319e50a93b1d2e9d76cd071ba252aa140035

Observation 561e91b5-a361-447d-abe5-3f843374c70c · outbound

This paper cites Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality

Reference 6

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source=arxiv_source observed=2026-08-05T15:17:12.258788Z digest=sha256:477bc814ac4bf4cb5230744f749f189b8ec90a15710a22cce19cd624ae7043ef

Observation a2f997ce-09aa-43ea-9095-89c8fd96b69f · outbound

This paper cites S umma R eranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization S umma R eranker: A Multi-Task Mixture-of-Experts Re-ranking Framework for Abstractive Summarization

Reference 7

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source=arxiv_source observed=2026-08-05T15:17:12.262070Z digest=sha256:bea13aaceb5974e7f82fdafc8820e4c0cd251cef2335bc7ef0ed9b506676369d

Observation 0e5ef8ab-271b-4c26-98c8-3d849df852a9 · outbound

This paper cites 2025 , eprint=.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2025 , eprint=

Reference 8

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source=arxiv_source observed=2026-08-05T15:17:12.264880Z digest=sha256:b4be08c76cd89190bd272e920c76db661aaf9a9cfa7353e5fc3ab659927cc238

Observation 8a04d43e-5c40-41f0-83e6-956d8cbf2726 · outbound

This paper cites 2026 , howpublished =.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2026 , howpublished =

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.267574Z digest=sha256:b800e5498a7aa099fcb4a1379125ff36e925cc02b2566ea59e5cac554c697290

Observation 4ef1fb1c-99a7-49b1-bf3b-465a16462516 · outbound

This paper cites 2024 , url =.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2024 , url =

Reference 10

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source=arxiv_source observed=2026-08-05T15:17:12.270614Z digest=sha256:bcc90d42eb8ec4156952117a7eace548db5a432a98ad5e91a60287ca73956c92

Observation 6a2146a1-3235-4ad5-b9cc-1b22d90f9f09 · outbound

This paper cites Abstractive Text Summarization using Sequence-to-sequence RNN s and Beyond.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Abstractive Text Summarization using Sequence-to-sequence RNN s and Beyond

Reference 11

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source=arxiv_source observed=2026-08-05T15:17:12.273410Z digest=sha256:aefbba470d2ee7dc629284c049f322b6ffd59857c33c4485a6a15fe16950ffec

Observation 448f3efd-0db2-4a39-96c5-85f2379f2b3f · outbound

This paper cites Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Reference 12

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source=arxiv_source observed=2026-08-05T15:17:12.276243Z digest=sha256:088b494c0028bbeb2a076ec682dd27a53b458e66f085914ffc7aa552d99b927d

Observation 41fc546d-ac46-4490-bfb6-15e2b2bebc5e · outbound

This paper cites ROUGE : A Package for Automatic Evaluation of Summaries.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization ROUGE : A Package for Automatic Evaluation of Summaries

Reference 13

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source=arxiv_source observed=2026-08-05T15:17:12.280006Z digest=sha256:6451501c188a3000732786542d1d0799ea52696ce8c70868d02c26a3e4e071f1

Observation 9cf958d0-6a52-4c60-9a2f-c0f894e79fca · outbound

This paper cites 2020 , eprint=.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2020 , eprint=

Reference 14

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source=arxiv_source observed=2026-08-05T15:17:12.282682Z digest=sha256:5645a299f3530423f6f7516a697986ed7f7c56bbc0b75488c3bd323ad5878a8e

Observation 5fc850d4-dc24-454b-92e1-d91d1de1b325 · outbound

This paper cites Evaluating the Factual Consistency of Abstractive Text Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 15

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source=arxiv_source observed=2026-08-05T15:17:12.285571Z digest=sha256:afac35f3ae00bf84e808f2444dcc2d30a31ca28978d9029965c13b617d8c431a

Observation 4fc1b004-97d7-44be-9287-295ef41aa19e · outbound

This paper cites M ini C heck: Efficient Fact-Checking of LLM s on Grounding Documents.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization M ini C heck: Efficient Fact-Checking of LLM s on Grounding Documents

Reference 16

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source=arxiv_source observed=2026-08-05T15:17:12.289211Z digest=sha256:7495d15ae4e46918a21eb09ea28278e5614d26a91ae6935ba5b3d0feed98578b

Observation 715a23a5-e334-4ae4-a71c-fcd5c84ec888 · outbound

This paper cites A lign S core: Evaluating Factual Consistency with A Unified Alignment Function.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization A lign S core: Evaluating Factual Consistency with A Unified Alignment Function

Reference 17

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source=arxiv_source observed=2026-08-05T15:17:12.291994Z digest=sha256:e852fbdd8f50645f977b64eec2d24c4efbd3a9381b0f4290e81a4b8d9e8255c6

Observation 3c3ee78b-00d2-43e7-8dc4-a1f689c16aae · outbound

This paper cites F act KB : Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization F act KB : Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge

Reference 18

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Observation 6cdf95a9-49e3-41f2-8f96-273fb9d557dc · outbound

This paper cites PRIMERA : Pyramid-based Masked Sentence Pre-training for Multi-document Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization PRIMERA : Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Reference 19

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source=arxiv_source observed=2026-08-05T15:17:12.297618Z digest=sha256:df8833f1c921f7e22d6ff4263eab8af7a2b142681da440fc30b97e67f16d51ff

Observation ba6e7720-cb09-480b-bb5f-2ae5aca73c12 · outbound

This paper cites Benchmarking Large Language Models for News Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Benchmarking Large Language Models for News Summarization

Reference 20

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source=arxiv_source observed=2026-08-05T15:17:12.300382Z digest=sha256:ebf111d6a78323c91d6d28ac76fc983dcdd23c4b9efda93f2d824a39a0665834

Observation 85d5fe07-a314-455b-bca4-251f143ca55a · outbound

This paper cites On Context Utilization in Summarization with Large Language Models.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization On Context Utilization in Summarization with Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-05T15:17:12.303108Z digest=sha256:599a56d6fcfe8402d9b995f0205d70f42bb3db5cf6d73f92810c2150645b9d8c

Observation 8cf06c02-d6ab-4332-b0e8-e804265fc6aa · outbound

This paper cites Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Reference 22

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source=arxiv_source observed=2026-08-05T15:17:12.305990Z digest=sha256:5765d8b4e2ca4530e8fe5f3233c04e08aa3740e450b2678120dcef2f3ef37d85

Observation 0cfa136e-1b58-4267-b484-23e07bf9bfa2 · outbound

This paper cites Discrete Mathematics, Algorithms and Applications , volume=.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Discrete Mathematics, Algorithms and Applications , volume=

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.308711Z digest=sha256:86bc78bba0a0202dded270b6ea0b91cfbd68e7234d403d149c42f255f12a0312

Observation c7a0ce48-b2c0-48d7-a1ad-e976eba6f3ca · outbound

This paper cites On Learning to Summarize with Large Language Models as References.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization On Learning to Summarize with Large Language Models as References

Reference 24

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source=arxiv_source observed=2026-08-05T15:17:12.311596Z digest=sha256:1bc12dc48335e1b273d86aff9ad8b3e619aecb82da9daf5d59743a3d2f2e9fda

Observation ce7719e4-d8bc-4440-a7ec-3b2994ed6058 · outbound

This paper cites Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization

Reference 25

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source=arxiv_source observed=2026-08-05T15:17:12.314485Z digest=sha256:10e3288d70bdfae5070c0596fac46021abbe8acb2f220e2409e42477b2e9abaa

Observation 68c0867a-5862-4d05-b379-a960e78239e4 · outbound

This paper cites Exploring Iterative Controllable Summarization with Large Language Models.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Exploring Iterative Controllable Summarization with Large Language Models

Reference 26

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doi, observed 2026-08-05T15:17:12.590975Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.317425Z digest=sha256:52a12feb04969cfc1a8d12fdb69d28bcac13a62c12a1792d14c5101a781a3459

Observation bce61a39-8255-4503-95e5-810a683a2c31 · outbound

This paper cites and Marshall, Iain J.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization and Marshall, Iain J

Reference 27

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source=arxiv_source observed=2026-08-05T15:17:12.320191Z digest=sha256:6768697fc74d31d24f7bf342b7095d9c2f0bc04e2b66c32de42e0266d8d86f4a

Observation 55714447-8f80-4713-af0b-444de5d1e96f · outbound

This paper cites Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Reference 28

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source=arxiv_source observed=2026-08-05T15:17:12.323109Z digest=sha256:d73a8bf148cad1c06a13cf13645ecc5ed73372be2fe761b6e7f68b77a7c961f1

Observation bd66de29-6058-4649-a503-71bb84b88b65 · outbound

This paper cites Tell me what I need to know: Exploring LLM -based (Personalized) Abstractive Multi-Source Meeting Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Tell me what I need to know: Exploring LLM -based (Personalized) Abstractive Multi-Source Meeting Summarization

Reference 29

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source=arxiv_source observed=2026-08-05T15:17:12.326348Z digest=sha256:1ab27c16ca2f30aa0853b8f6c158d4138605751103ec8c4d22e7a350b2f1ea63

Observation e6fc24b2-0bbb-47ff-89d0-872006405474 · outbound

This paper cites Structure-Aware Chunking for Abstractive Summarization of Long Legal Documents.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Structure-Aware Chunking for Abstractive Summarization of Long Legal Documents

Reference 30

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doi, observed 2026-08-05T15:17:12.564082Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.329176Z digest=sha256:476834b172aef74ee69c3c304ffb2bf965b098601a319ecc6324161094c5840a

Observation c1dbb37f-b75f-4071-9d2f-d7e48e6e36fb · outbound

This paper cites CCS um: A Large-Scale and High-Quality Dataset for Abstractive News Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization CCS um: A Large-Scale and High-Quality Dataset for Abstractive News Summarization

Reference 31

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source=arxiv_source observed=2026-08-05T15:17:12.331967Z digest=sha256:2e5a05af4ff3517f13b5d94a14cb279b51f5f895290c105e4553133cefdd6d9a

Observation bb014db6-9b53-438b-8273-1df25e639edb · outbound

This paper cites Extractive Summarization with Text Generator.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Extractive Summarization with Text Generator

Reference 32

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source=arxiv_source observed=2026-08-05T15:17:12.334643Z digest=sha256:c5ab8f6f4529706525de946fdb016754af24ebe278d399b57c11e71050abeb4e

Observation 723c4b83-9c00-499e-a028-337c547ed5b4 · outbound

This paper cites Extract, Select and Rewrite: A Modular Sentence Summarization Method.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Extract, Select and Rewrite: A Modular Sentence Summarization Method

Reference 33

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source=arxiv_source observed=2026-08-05T15:17:12.337418Z digest=sha256:60fde42af25f8504136b908d5ed901bc8751459efaf5075c528bcf2717e2c743

Observation c6864895-bc67-4618-ab0a-89defe5e40e6 · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization On Faithfulness and Factuality in Abstractive Summarization

Reference 34

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source=arxiv_source observed=2026-08-05T15:17:12.340349Z digest=sha256:2b20aa603d76cf1295fd00efc18f74a03ed620d87500cec1330bcc4090cac970

Observation e379a448-1de7-4be2-a707-70102b74b730 · outbound

This paper cites Asking and Answering Questions to Evaluate the Factual Consistency of Summaries.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Reference 35

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source=arxiv_source observed=2026-08-05T15:17:12.344101Z digest=sha256:7cc5f89e29a914b75ae547de600f0a2a4e77aebc0b1870adc4bdc757ee5743ae

Observation 9fbaa908-a5ef-4770-b2ec-a3acb62a1ae3 · outbound

This paper cites QAF act E val: Improved QA -Based Factual Consistency Evaluation for Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization QAF act E val: Improved QA -Based Factual Consistency Evaluation for Summarization

Reference 36

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no resolver link, observed 2026-08-05T15:17:12.346817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.346817Z digest=sha256:42ae25ed753a1bc989f04130c3391fda8a5ca5fd778a6efdb09e05c2122718fe

Observation 0814b907-b678-4ec2-bfce-971d744f7b55 · outbound

This paper cites Evaluating the Factual Consistency of Large Language Models Through News Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Evaluating the Factual Consistency of Large Language Models Through News Summarization

Reference 37

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no resolver link, observed 2026-08-05T15:17:12.349620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.349620Z digest=sha256:403dcefdf11d03d0381cbe18351862de55e2d5a5d49c966e2b3c2bd593a0f38b

Observation 64fe6f94-31b2-447e-ab26-eee30230be85 · outbound

This paper cites Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:12.826568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.352281Z digest=sha256:1c89008ee130db9ee3f21216b8490adce00102c9dde00530e7bed59ec1688ce1

Observation d3ea6f23-d512-45fc-94de-fa63f1638b15 · outbound

This paper cites F aith B ench: A Diverse Hallucination Benchmark for Summarization by M odern LLM s.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization F aith B ench: A Diverse Hallucination Benchmark for Summarization by M odern LLM s

Reference 39

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.817996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.355296Z digest=sha256:3b1d77bf0920d1f02d21596e40a6da53d72af91de145e908275bb76a26b7bce2

Observation 0b35909d-352d-4749-aac6-36a581fee045 · outbound

This paper cites On Positional Bias of Faithfulness for Long-form Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization On Positional Bias of Faithfulness for Long-form Summarization

Reference 40

Resolution
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no resolver link, observed 2026-08-05T15:17:12.358000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.358000Z digest=sha256:470da517933179153cbdde874d75c08e74e15bb34efce5ffb1eb32dc46339a3d

Observation 0ca18627-9ea1-4d4d-90d1-74a4cd2908bf · outbound

This paper cites Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models

Reference 41

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no resolver link, observed 2026-08-05T15:17:12.361410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.361410Z digest=sha256:f256272058cfc034182fcacbcd7ec9ce1d610215c3b2c8bbd480b2761b70ae81

Observation 0a052b8c-54d4-4057-a11e-2ea26884df18 · outbound

This paper cites Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information

Reference 42

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.503643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.364292Z digest=sha256:0f94b6b77d5275e0ec33f34d2cc14c49b27b3c702c3651d4c038d357143a9f9d

Observation 10ef083f-b865-4fc7-87be-89beea22e537 · outbound

This paper cites Hallucination Diversity-Aware Active Learning for Text Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Hallucination Diversity-Aware Active Learning for Text Summarization

Reference 43

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verified exact
doi, observed 2026-08-05T15:17:12.494415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.368230Z digest=sha256:27ff19a75830564aa5e0b26e7f32e7bc4e82ffc37fa5d3416dde54e7baf358c0

Observation 38f8f831-2759-4315-8172-efafdf73a365 · outbound

This paper cites MAMM -Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization MAMM -Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration

Reference 44

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no resolver link, observed 2026-08-05T15:17:12.370946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.370946Z digest=sha256:f4dbdf11c539d3351ab917aac8fc4413fcb0441790cabd70566206ea5a20420a

Observation 9a60eb26-dd5f-4f75-b7a4-fa2b7f3291bb · outbound

This paper cites 1998 , isbn =.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 1998 , isbn =

Reference 45

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no resolver link, observed 2026-08-05T15:17:12.374526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.374526Z digest=sha256:cc0bb6a5e7127842f9f3d43c71c8c81c6fb4ab169292f473494cee2aa7dfd425

Observation f274b393-51cb-4c13-9584-de0223f02b8c · outbound

This paper cites A Scalable Global Model for Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization A Scalable Global Model for Summarization

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:12.808951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.377352Z digest=sha256:5289377f004ab4f6b58dd88fbb1c6cc6b59bc05223e1f7d517e79092841750b5

Observation 49a91c78-9e23-41fb-80e0-92e3a6d09242 · outbound

This paper cites A Class of Submodular Functions for Document Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization A Class of Submodular Functions for Document Summarization

Reference 47

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unresolved
no resolver link, observed 2026-08-05T15:17:12.380155Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T15:17:12.380155Z digest=sha256:c0c869750f5e5942190f9bc2bc45288c19cff6ef3a9dd8339a592f14aa4fa60b

Observation 1552e94d-7d6b-496b-848a-f23e9833b8b8 · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Foundations and Trends in Machine Learning , volume =

Reference 48

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unresolved
no resolver link, observed 2026-08-05T15:17:12.382879Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T15:17:12.382879Z digest=sha256:c8813885334e8399621595212f3dcd53c6cc9d82fcc93640916a3b8b1e46d53b

Observation 0137e1a4-f35f-4930-8323-bbd3a04996bd · outbound

This paper cites Lightweight reranking for language model generations.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Lightweight reranking for language model generations

Reference 49

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.474905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.385636Z digest=sha256:4df24b7cc4862dfd783d7ff2b101b1c303482a3e00dbd1c212a9a90b738d9df0

Observation e2ec1368-c559-42ce-8ff8-ee80f7aca9ca · outbound

This paper cites Reranking-based Generation for Unbiased Perspective Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Reranking-based Generation for Unbiased Perspective Summarization

Reference 50

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.465193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.388590Z digest=sha256:9b01386f51b941f491b40f9025ce8d10122565f2e9e4c29967042538944526ff

Observation 96a726b5-6c57-467e-94c2-651c301d4193 · outbound

This paper cites Submodular-based In-context Example Selection for LLM s-based Machine Translation.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Submodular-based In-context Example Selection for LLM s-based Machine Translation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:12.795977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.391693Z digest=sha256:413098ed597d1b9826dbf75a0a02d54871c248a03eac45ef32cba44d27229e4f

Observation a41c5faa-0f16-430b-bdbc-ed47bbc36d79 · outbound

This paper cites An End-to-End Submodular Framework for Data-Efficient In-Context Learning.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization An End-to-End Submodular Framework for Data-Efficient In-Context Learning

Reference 52

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.455822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.394345Z digest=sha256:347d6d0e1d3b775db0425d06a72039c34ba32ef3f85d33821d058e0e7a8ad281

Observation 2468d7be-7820-4fd9-b3f3-44387fc86a7a · outbound

This paper cites SMART : Submodular Data Mixture Strategy for Instruction Tuning.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization SMART : Submodular Data Mixture Strategy for Instruction Tuning

Reference 53

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unresolved
no resolver link, observed 2026-08-05T15:17:12.398050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.398050Z digest=sha256:d4ac6898c37266188810e51b54f43220f26ca32797d1e11c86075e1dc5c431c6

Observation 41a53e36-9d15-4d58-99f0-12138558c53e · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization BERTScore: Evaluating Text Generation with BERT

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:12.400877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.400877Z digest=sha256:1a1d2e12e8d4dbf368239899512a79be8a0ff98a04aad7e2b6c7887a348be92a

Observation f9e076fa-0447-4bd9-ba24-86b26a085510 · outbound

This paper cites Journal of social computing , volume=.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization Journal of social computing , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T15:17:12.787454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.404063Z digest=sha256:060ba17e26ef9ecd43d6e81053bb65ebf0f2a6000c5346cb88e43e6125e3fa6e

Observation 7eefd3b6-8baf-446a-bacf-77eea208ce4e · outbound

This paper cites 2020 , editor =.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization 2020 , editor =

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:12.406680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.406680Z digest=sha256:63dceb3f3251597ea49ad9990536ce8cb5351bf93b32d875f9f30ed54ca656f1

Observation ec7dae35-2e3e-488c-b4cc-699f32c5f5e5 · outbound

This paper cites FABLES: Evaluating faithfulness and content selection in book-length summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization FABLES: Evaluating faithfulness and content selection in book-length summarization

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:12.409509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.409509Z digest=sha256:0bf2028e610ee576b68a4d4426d46e524ceddda128af1bc779fe3b0f7efcbcea

Observation a8f6b331-f44e-45a9-aedf-7b2ddacc02a1 · outbound

This paper cites T ofu E val: Evaluating Hallucinations of LLM s on Topic-Focused Dialogue Summarization.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization T ofu E val: Evaluating Hallucinations of LLM s on Topic-Focused Dialogue Summarization

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-05T15:17:12.413049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:17:12.413049Z digest=sha256:3e1a7cc6df82da3dc7309e474a9dab229c7fdf750f435fc175baa770b99e2f34

Observation 3dc41cfd-14a7-41d1-9920-ce46e84242fd · outbound

This paper cites F aith L ens: Detecting and Explaining Faithfulness Hallucination.

Decoupling Generation and Selection for Budget-Constrained Faithful Summarization F aith L ens: Detecting and Explaining Faithfulness Hallucination

Reference 59

Resolution
verified exact
doi, observed 2026-08-05T15:17:12.440843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T15:17:12.415810Z digest=sha256:c0bbd499a2487acc6ac224fd38dab5935a36bfe554a43d42ebb3341bb9222428

Pith citing papers

No inbound Pith citation observations are available.