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Paper Citation Record · LEDGER

Evaluating the Factual Consistency of Abstractive Text Summarization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:1910.12840.

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

pith.paper-citation-record.v1
1910.12840 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:40.792162Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T19:50:11.178245Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 50ef0f15-0bbf-41f2-b996-bbb464fecae3 · inbound

Combining LLMs with Logic-Based Framework to Explain MCTS cites this paper.

Combining LLMs with Logic-Based Framework to Explain MCTS Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T04:42:40.792162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:42:40.792162Z digest=sha256:6a21fb17871b7a3120866d75b095001ab4164799e3664c289c9c79bf55096934

Observation b7ac3520-4983-48c9-af19-26f5a4941b5a · inbound

SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation cites this paper.

SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T01:03:16.667227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:03:16.667227Z digest=sha256:f381481552ff15179066bb93e91848ed4b59ed69737c085329fcdb8599b4d0fe

Observation 3afdb703-5f4a-4cc1-b65d-52759150136a · inbound

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion cites this paper.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:18:56.295101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:18:56.295101Z digest=sha256:c67ff20e84061e4c2ef31b0fd85ad067e41ca5adc8b20434111b4e0e78622965

Observation 447a659f-8114-4eb5-b16b-3173007e9ccb · inbound

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization cites this paper.

Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:15.639581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:09:15.639581Z digest=sha256:311fe31c13da5dc3d2782b02a0b6376004e92ac9eb634361d9b3258a892e9a02

Observation 2bed12ab-930d-4e24-8739-21209f61af62 · inbound

Contextual Candor: Enhancing LLM Trustworthiness Through Hierarchical Unanswerability Detection cites this paper.

Contextual Candor: Enhancing LLM Trustworthiness Through Hierarchical Unanswerability Detection Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:55:47.396538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:55:47.396538Z digest=sha256:7040f3bc0abd59a321363474a694ef9f08e473c63034ef2c44121f6f5ab2e53b

Observation c18795c3-a97b-48cb-af59-deb021677d85 · inbound

Harnessing RLHF for Robust Unanswerability Recognition and Trustworthy Response Generation in LLMs cites this paper.

Harnessing RLHF for Robust Unanswerability Recognition and Trustworthy Response Generation in LLMs Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:14.168505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:14.168505Z digest=sha256:49310c4c4a0f636c4bbd7543181c475d8f4f00bfc118097bcc7c5e395be2f65c

Observation 73eda09a-d252-4067-a566-9316011d06b2 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T05:29:13.391432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:13.391432Z digest=sha256:1ba5fc5a5784f0a4686f2b3de299c1bfcda9dd79450d88f37326e41e9b060eb2

Observation 36db8dc3-59c3-4061-808e-96ca553d1398 · inbound

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume cites this paper.

AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T14:23:37.167543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:23:37.167543Z digest=sha256:4c072ab30e59282dd7735c628e770f33c6a9f5dd2c5af944c21e0b718edb05f0

Observation dd4a2856-22c2-4cac-ab37-adfff3724dad · inbound

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation cites this paper.

No-Worse Context-Aware Decoding: Preventing Neutral Regression in Context-Conditioned Generation Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:08:27.154455Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-10T08:06:22.060298Z digest=sha256:60c8e05ef3feb851915e65e2bc5db65f033a317cbe09d6bf674c2339786985e7

Observation 9b726329-1603-4813-a16c-5022822b1d94 · inbound

A Community-Based Approach for Stance Distribution and Argument Organization cites this paper.

A Community-Based Approach for Stance Distribution and Argument Organization Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:16:55.020435Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T07:13:46.618068Z digest=sha256:4faaceedcd713ae3a28ccbd28181e00b24a300e5fd37c89152e0416da697b36d

Observation 53183458-df87-4fc4-9f7b-b51ffce3aaaa · inbound

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives cites this paper.

Whose Story Gets Told? Positionality and Bias in LLM Summaries of Life Narratives Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-10T01:04:50.261989Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-10T01:00:41.543394Z digest=sha256:d03026fbef75e047c8690e0a1449b613d032f43352dba10d35b3eda8b1d6d50f

Observation c1224363-92c9-4b8e-a882-67a418166504 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:50:27.906043Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-25T06:49:16.755597Z digest=sha256:79963438141f6f2626f660b2dab85f024306759870359529237169908ce97773

Observation 10ff9381-d6dd-4e46-950f-0e8f2aea3aca · inbound

Cross Paraphrastic Invariance Learning for Hallucination Detection cites this paper.

Cross Paraphrastic Invariance Learning for Hallucination Detection Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.733491Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T19:58:46.715154Z digest=sha256:259c4e1d3831ad324a2ee9f2cc6d99a9020426912bb2d87bad93fa09ab1bc12a

Observation 92c0ae74-8e0e-41ef-be3b-e8dd05f049c1 · inbound

Constrained Paraphrase Consistency for LLM Hallucination Detection cites this paper.

Constrained Paraphrase Consistency for LLM Hallucination Detection Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:07:23.831208Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T19:56:39.860512Z digest=sha256:694ff5857121524e8e1b65b0c858ef05b9090cc844f164de4996d96d2580a6af

Observation d17c86c7-7f82-4f6d-9ca2-22524dd7458e · inbound

Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts cites this paper.

Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:18:22.762203Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-06-27T07:07:29.681778Z digest=sha256:b56ba06000cfcf8d1493f3558e3cae3710e58ea14fdc31edf012c4269b3bf200

Observation 31ac0086-bcad-41cb-bb9c-c3cc46f0b964 · inbound

Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization cites this paper.

Layer-Resolved Optimal Transport for Hallucination Detection in NMT and Abstractive Summarization Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:08:32.741419Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T06:43:42.745984Z digest=sha256:efcc82a2e568fcb15380c02e1b09fb1767a30429c84f913c61beefd2741d452d

Observation 8e6f9b58-9745-4c5a-a398-87b5ed1cd4b1 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.180024Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-25T20:58:53.119386Z digest=sha256:d0355cdcbccf3a948678c260e540198149531c51af6135110ed91c186be4511a

Observation eea92b60-5edb-4dd3-ad6a-7050c2560741 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T10:16:43.320725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:16:43.320725Z digest=sha256:926ec6aa42996013182017a515cefcfffe6fe7844a2feea5bc66fc90c8755b79

Observation 0c740d23-1f0e-40db-8179-9ee477cefd66 · inbound

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization cites this paper.

A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T12:06:16.011748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:06:16.011748Z digest=sha256:9b61153c134faac76c3be43e137eec9b19273236fa40a9ebae85dee5598b7fb5

Observation 9097ac10-8890-4eff-8d6b-cd8a07220d35 · inbound

ProcAgent: An Agentic Framework for Procedural Task Guidance on Edge with Human-in-the-Loop cites this paper.

ProcAgent: An Agentic Framework for Procedural Task Guidance on Edge with Human-in-the-Loop Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T11:52:36.427214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:52:36.427214Z digest=sha256:c398d55d0f3b7fc98d0b11401526647b60593a13a0dc433923d6bbd6107f9a2f

Observation e1ea5554-99ca-4ac5-80d7-18ef788f0d03 · inbound

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? cites this paper.

VisEditBench: Can Vision-Language Models Edit Visualization Code from Multimodal Feedback? Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:39.662932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:39.662932Z digest=sha256:0b6f8ccdbf50d19f36e53ad2851d582dd0c72f40d57bbaaa85512a7b8b590ea5