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Paper Citation Record · LEDGER

RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.08147.

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

pith.paper-citation-record.v1
2311.08147 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:57:26.924212Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.507219Z

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 41fc09dd-7012-45fa-9c9a-1865ca71d008 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 168

Resolution
verified exact
arxiv_id, observed 2026-05-24T05:13:56.510163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T05:10:25.171044Z digest=sha256:ed9fa93a555c092ab90dc697508c551070fc5b1ad373a07d553fbb878deabf43

Observation 47dd87a8-cc73-45cb-bb5c-9f56620c9942 · inbound

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries cites this paper.

MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:54:19.697179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T13:54:19.264893Z digest=sha256:a97960458dfbb265e9f81453a0def228c7565d289f2dd9dd5fbb763dff42dd2d

Observation 15cbf505-2427-41dd-b33b-7d393d2f5b4b · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 94

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:15:55.504139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:b12e7439cfdbe1505a5a9767469448eaf491d1ac8ec2214ccaccbe768491434e

Observation 97719dd1-7d00-4b95-baa4-d59979e22716 · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:08:25.947076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:229d7fc5db1fc3dfe9817b50b010336bd77dd8633825af61c32e967d57b73533

Observation 86e94ea8-943c-4b6c-acdb-cd6ff8e4f462 · inbound

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems cites this paper.

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T10:57:26.924212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:57:26.924212Z digest=sha256:4443588b611d68f8b242f4cf68c5a6a27a7171413cdb84da967022ad493edf6a

Observation 64d03a24-522f-4ce1-a251-8bc9e3d6c841 · inbound

GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation cites this paper.

GaRAGe: A Benchmark with Grounding Annotations for RAG Evaluation RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 9474

Resolution
unresolved
no resolver link, observed 2026-08-07T05:33:18.221584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:33:18.221584Z digest=sha256:70f25609c19e29b01d13063e6f496cb9bc37b94586030740bba2a50070e82bc9

Observation 725a453f-3efc-440f-a043-964bee82a586 · inbound

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models cites this paper.

"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:20.719247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:32:20.719247Z digest=sha256:01414ac1aa1f6b88da1c155dd2db45b4628bff7a9c7e0b6a1d2580c6897d4d7d

Observation 146e528a-1dca-4fae-81ed-72ac81a42570 · inbound

Quasiparticle interference in LiFeAs: Signature of inelastic tunneling through spin fluctuations cites this paper.

Quasiparticle interference in LiFeAs: Signature of inelastic tunneling through spin fluctuations RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T19:50:49.876347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:50:49.876347Z digest=sha256:13e67a9591fe4c54fb912ece9085a5c5cf2d1bb6d082b90732a5b57348874852

Observation e82784f5-1350-4159-94cf-5032c79e0449 · inbound

Do Audio-Visual Large Language Models Really See and Hear? cites this paper.

Do Audio-Visual Large Language Models Really See and Hear? RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:58:15.854047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:56:19.815569Z digest=sha256:45892399deac2191be0d1e65dcd48a60e5d0213580d4f8aeedd33d2093708487

Observation 9c69728c-b56c-43f2-af83-36ccdeb70603 · inbound

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework cites this paper.

Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:28:13.946502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T20:27:57.033386Z digest=sha256:397ca0ff7ca44b6ba39cfbece264ce83803b64d2a1a7d7a78f38e7e1d5d8a14a

Observation 80095f73-ebec-4846-a8d4-6b456bdb5e14 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge

Reference 155

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.610246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:bb4ba19765f1a5783886219b31f5809de3bb808c9aa7a7d87c93d59b64a7907f