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Paper Citation Record · LEDGER

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies

As of 15 July 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2606.31039.

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

pith.paper-citation-record.v1
2606.31039 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T06:11:50.941228Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-14T06:31:01.685423+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

50 of 50 outbound references displayed

  • verified exact14
  • verified fuzzy29
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5547bc-3a3c-48d7-bc07-b8c0f08f2504 · outbound

This paper cites Aho and Jeffrey D.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Aho and Jeffrey D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.961239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:8dd7c0045508956599d208005999cee873a41997becc456a0725466a74947fae

Observation 9295d447-2ade-4e0c-b348-9af87d8cea64 · outbound

This paper cites an unresolved cited work.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Unresolved cited work

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.963026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:e05896cada4bdf097b874c5708ba89737b1d258a6dfbfbb5061aef5c44eddfe4

Observation 4348a91c-af38-4024-bcae-714ffb1d43fb · outbound

This paper cites Chandra and Dexter C.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Chandra and Dexter C

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T06:15:26.432212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:dfc9641885a9f052e08cafd50d48494ba1ee883a9730c3c4dbd64f6e02a4270b

Observation ddaae050-7c98-44b1-9d0d-30f6cedcc7af · outbound

This paper cites Scalable training of.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Scalable training of

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.894435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:6cdb0dbfd4ca36cc9a8c99f6ebe2b927fe602832326fef8f75dbeb92cc6131b3

Observation a8bed754-9438-4860-adf9-54bbec211716 · outbound

This paper cites an unresolved cited work.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Unresolved cited work

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.942060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:eca5130ac703f6e180739f9ac698386247f7de71c902274f5d2ce71a799aaec5

Observation 17fd4a0a-9a0c-45b9-82de-bf16c541161e · outbound

This paper cites Tetreault , title =.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Tetreault , title =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.917279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:a5a1052069569ac31915ab4aefdc1609c9a443a56097bafc672df3e08f9b49a0

Observation 565b1339-8950-4188-94fb-3d8eb2639572 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.947054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:55ebf85bcdafd1a12b35ac9a60c7e1f72799ae6f39a51dded222262209af37fe

Observation d018d590-6175-4e4d-996c-ede580dbaba0 · outbound

This paper cites 2025 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2025 , eprint=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.941280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:0748ac47d3024fabbdb0803f761216865f48e163ad18331b02dd13c2a6358bd7

Observation a1c3ae1b-f3ba-4621-8423-ddc98c12576f · outbound

This paper cites Problems of Education in the 21st Century , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Problems of Education in the 21st Century , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.945862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:c19a0a8912ec368620aed8210483519c0150794957cb1134ed3bad3b5f80c74f

Observation 98380b6d-3db0-4c25-a2fa-71ed0a8d9a7d · outbound

This paper cites On-line Article (preprint), doi , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies On-line Article (preprint), doi , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.909160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:4c6f07db932cf9a96bc4e31f0b25286d519c69a3a6de0d4ee6b059d4e66eb752

Observation 531d2858-3473-4005-b2a7-ac9180af58e9 · outbound

This paper cites 2025 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2025 , eprint=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.913587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:25f8799f3e7c60ecc2467d395926844d877a404ac93bbc6b780da77b29c16049

Observation 37eb6410-697d-4b95-9c72-ed1a22320050 · outbound

This paper cites 2024 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2024 , eprint=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.921991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:08cb1920b83c13c33b8e072e93435db83d72b04a6df4d56bc44b295680876cb5

Observation 2a7fdd0c-0ace-4f23-bb2f-980cf32e8afa · outbound

This paper cites Nature communications , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Nature communications , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.898398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:387db01e11a9ef8ff956f88ec8f6ed25b839a184a9612a9e2ab1a63a9e77636c

Observation 03338c1a-df93-4d5b-aa64-6399002b3c29 · outbound

This paper cites 2012 , publisher=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2012 , publisher=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.951844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:a0b34d9f7931a86baa12afad3357639ab1921479fb82e622e7b7ab4f1cb2f4c2

Observation caa11f0e-d49f-47a6-8a16-0d05e8862e3e · outbound

This paper cites Logical Fallacy Detection.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Logical Fallacy Detection

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.522809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:a16f8edff15f6decbd6c334d7c8e00a64587f0e60aacb411c946d4704afcab13

Observation 9b1b7af7-cbde-4967-b993-7dc8389e2009 · outbound

This paper cites The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.525462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:120a5d84a1a4c594c1a8253ad9e3aae575a344b6cab7bf9d618444596a6425b9

Observation c589fcd9-d7a4-4e09-b1e7-1e00e1101b61 · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 17

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.438625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:810e61d0d9a7a16b58945433c240e5bca95bbbe6ac920aec03c59eeac160ecd2

Observation 1d524eaa-76e3-49a3-a5ea-fb9e6fff7e48 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Transactions of the Association for Computational Linguistics , volume=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.929622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:07cbc89b86ebb10991896b2c2f05486278e871bfccfd8c144f8b5f717313fbaf

Observation bb5ba418-2d87-407c-93f0-d5954ff08108 · outbound

This paper cites URLhttps://doi.org/10.18653/v1/2022.acl-long.229.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies URLhttps://doi.org/10.18653/v1/2022.acl-long.229

Reference 19

Resolution
metadata mismatch
doi, observed 2026-07-01T06:15:26.461346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:41dc096079fca48747d97d7c59e205b5857de32372a3d4ac745922fa19afccd4

Observation 8636c0b2-46ac-4dcc-a936-e7ab128127ff · outbound

This paper cites Guiding LLM Temporal Logic Generation with Explicit Separation of Data and Control.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Guiding LLM Temporal Logic Generation with Explicit Separation of Data and Control

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.527799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:43e2645061ef6259ddc0c6dc4c45bd0b289476aa818be76e45fa7a125c5b4ec3

Observation 515c8bed-71be-403c-b331-93aea32388b8 · outbound

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

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:45:40.519226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:9656f533c5f7800c7d2d0ab07c9c53caf67874b6a5c960654e240cbe010ff6e5

Observation 181e921b-95fb-4849-9db4-d926bb04c344 · outbound

This paper cites PeerJ Computer Science , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies PeerJ Computer Science , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.937349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:7408addd8fbb0ffba0065e65496aa249ac76bcd2c90696a5dfe3c24179673b9e

Observation 34be92e9-f452-46c8-98d6-cf4a3b9022d0 · outbound

This paper cites Argotario: Computational Argumentation Meets Serious Games.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Argotario: Computational Argumentation Meets Serious Games

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T09:45:40.526798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:6e334e926db6b967150cf6531abadbdafd7c0f5590325de6a711dda0194399f1

Observation fb1a5271-fcab-49c4-92dc-be6fc3ba66ac · outbound

This paper cites L ogic B ench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies L ogic B ench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models

Reference 24

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.458493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:95c81c035a21ce7abbe78e3670ef8939f681b623a22889388e99cf0c3a14a404

Observation a1cbd9cc-f8f4-48aa-8178-0cefec3ea78c · outbound

This paper cites 2023 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2023 , eprint=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.903299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:2fb283d9ee4b5b65841dbe320a555a1cd9f21333f7cf02cd33a9fbef3b586553

Observation 3d8772fb-35a0-4b02-9dd8-a9e6f7fca324 · outbound

This paper cites Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the 37th International Conference on Neural Information Processing Systems , articleno =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.905839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:4dab632f5fa0f6f878c8cf6af2c30f66f69b516e25bfcece25d7d40ac2b1735b

Observation 72b235f0-603c-450b-9982-775a3bef58a8 · outbound

This paper cites DeepSeek-V3 Technical Report.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies DeepSeek-V3 Technical Report

Reference 27

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:45:40.520406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:0151265c7fe5916affa64ee8d81d3e97e2a440224c1e8b4a9850a94ebdfda1d3

Observation 306ee61a-f944-464e-8d55-dca9a6c79dca · outbound

This paper cites GPT-4 Technical Report.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies GPT-4 Technical Report

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:45:40.514084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:e2e258561a2d0a42e4499f42d87ce64d64a858b3634f390ce699d7a4bdad3744

Observation 5ade2fc3-e49f-4d4d-aee9-a64a974864bd · outbound

This paper cites Advances in neural information processing systems , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Advances in neural information processing systems , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.904596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:8c5c7bc0c5f42295cf67ed4fe49943c4de3c439070ce41576999a5b16dccbcbc

Observation e508f494-4ee7-42ca-af5a-476ac1309c31 · outbound

This paper cites arXiv e-prints , pages=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies arXiv e-prints , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.959412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:b6686e32d51209036b55880f188d1ed9ae5ec87b1e10c3ef02cbba448946732e

Observation 3415397a-89e2-4b74-8e75-fa49bd87eb88 · outbound

This paper cites 2025 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2025 , eprint=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.920024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:6e766c963526b945a5e0018ba68512bfe6cae00f41123cac0f8b15686863e4d3

Observation e36a20e5-5bdc-4dc1-b6e8-1233fce1fd37 · outbound

This paper cites Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.512344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:5df7ddcce7c90b56ae21812f8c1638c847c74d751125028e1348137a0d42e514

Observation dfd5791e-4067-4c90-9103-3e4a43b3db41 · outbound

This paper cites 2024 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2024 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.934561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:ab95152c32ac8823941dc4f5630b7fd1fb48e5f7e8933939f370f820443860d4

Observation ec98d1c3-a721-4b63-bc9a-88f2bddd8c44 · outbound

This paper cites 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC) , pages=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC) , pages=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.957500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:2f1c46d1ed5143c9853173999a5f7faa1e81d770956674479dea02aca7f55fb7

Observation b3855000-ab88-405a-869b-00b408c2049f · outbound

This paper cites 2025 , eprint=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies 2025 , eprint=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.949525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:23cc4c98a40249b98b89d83a632a1e4bd2f825f6b53df479e9a048c9e2618bd8

Observation 009893a8-ee93-4a72-ba2c-29980c2eaed8 · outbound

This paper cites Contemporary Educational Psychology , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Contemporary Educational Psychology , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.953672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:79ab59cc9da71975d3e9e9c7c773619f7d9b33da95222fdbd9b17659b7a056e3

Observation 0dd26daa-c569-4190-8fd9-41180b3c3067 · outbound

This paper cites Social Sciences , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Social Sciences , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.955611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:3926b5ad8c6b678f766b1440c6d49b016105351704c5b656721b7b0005683cab

Observation f662273a-433c-4078-93e9-2efe6ac4b037 · outbound

This paper cites Knowledge-Based Systems , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Knowledge-Based Systems , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.911268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:760611d1b4d8232fb5c78dedf51f07203e9c1bed3b7b268553d2118aa202248e

Observation fce587f4-df49-499f-90a0-e253cc00befb · outbound

This paper cites A Logical Fallacy-Informed Framework for Argument Generation.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies A Logical Fallacy-Informed Framework for Argument Generation

Reference 39

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.444515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:39d295abdffec48f38f4e7f4ab04dd29032dbbebf56bf11f23b30f02d3040731

Observation 300478dd-78fd-4bed-9e5f-d31cf56aed7e · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 40

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.441417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:3de2c71954fbd3c1c9e850ee2a3dfa77e4663cd34c7b6763a4be3bbea5b9311b

Observation ba3eddcf-c354-4cf2-b326-d3972416aff0 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , author=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 41

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.428353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:9ae2122a31ffa697819befc961b8efd06075c83c7719bc64e93b69421a9c1875

Observation 86819c54-709e-4faa-81fc-982fbc07ee6d · outbound

This paper cites CODEMENV : Benchmarking Large Language Models on Code Migration.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies CODEMENV : Benchmarking Large Language Models on Code Migration

Reference 42

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.422416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:274e9760a2f2ed9e31913e972f27d892d10ca025bd7e01daf8616f0beb57d87b

Observation 898de954-6b07-433c-a2b9-77b9689e5e69 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.932616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:8f341ad5129aa1833fb0944bd6da1ba4eb4eaa0584102dfc04f321cf08f4160c

Observation e6574540-38b4-4f12-93cd-b3c77849600e · outbound

This paper cites The Earth is Flat because...: Investigating LLM s' Belief towards Misinformation via Persuasive Conversation.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies The Earth is Flat because...: Investigating LLM s' Belief towards Misinformation via Persuasive Conversation

Reference 44

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.425187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:ce388440054d87e0fcd3b5a7473843abeddf5051f2e697b67fd257d17ec1b4bf

Observation d750edab-41e2-4247-9a50-b3bdce749ca1 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,

Reference 45

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.447234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:2d50b7f58da863ca76998e24a00c0d0e0c271d2e2517e3786c706dc799166e08

Observation dcbec2d9-dc14-49e0-9d7b-09e56896aa33 · outbound

This paper cites A rgotario: Computational Argumentation Meets Serious Games.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies A rgotario: Computational Argumentation Meets Serious Games

Reference 46

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.455656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:fcc7f6b27ad68fba0854fe79a0fbc0fbaa764bd1d5ac2c36860afd15dd7541d4

Observation 70623409-5558-4cb6-897e-db9087092424 · outbound

This paper cites How Susceptible Are LLM s to Logical Fallacies?.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies How Susceptible Are LLM s to Logical Fallacies?

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.932471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:3a5a126c5266dd9576a7129d480dbb3ad827498b219c9dcb274c2291fc318d02

Observation 5263e293-5c7f-4652-9dab-b15531145074 · outbound

This paper cites MAFALDA : A Benchmark and Comprehensive Study of Fallacy Detection and Classification.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies MAFALDA : A Benchmark and Comprehensive Study of Fallacy Detection and Classification

Reference 48

Resolution
verified exact
doi, observed 2026-07-01T06:15:26.451953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:bb8d91abeae98136ac2dfbbbea9fe91895ceead0b7b5948ee0cfc965a2959954

Observation 596cfdc6-41f6-4d7a-97cf-37c144de52b5 · outbound

This paper cites Proceedings of the 2023.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the 2023

Reference 49

Resolution
metadata mismatch
doi, observed 2026-07-01T06:15:26.435561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:ce809474d730d5aad8835147d49c174b5054aa2040e2c0337bf5a7b71eb3a718

Observation d698a567-d6c0-40e8-a321-ec63f1f3d22d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical Fallacies Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-06T19:12:50.944979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

source=arxiv_source observed=2026-07-01T06:11:50.941228Z digest=sha256:692d5da6a65c7bf5ae8ba84fe4a3b7e4b0b775e0761d92e3232433e972428bba

Pith citing papers

No inbound Pith citation observations are available.