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Paper Citation Record · LEDGER

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2509.01660.

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

pith.paper-citation-record.v1
2509.01660 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:23:12.165437Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T21:00:09.342056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T21:01:16.163127Z

Reference resolution

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44c01b38-fda3-4be4-9a29-07c65423ed89 · outbound

This paper cites Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, and Peng Qi

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:14.763494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.845740Z digest=sha256:c7bd4413afa1eabc8d056588aad089932a0bceda0032a2848a71d6677eae6cee

Observation fb26b085-e974-450b-9266-53acd4c764bc · outbound

This paper cites an unresolved cited work.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:23:14.580246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.918304Z digest=sha256:3d5acd1b5bf04ae2a55e862ce8db5da41cbc7d091f9ea34af34e0543aeb87fda

Observation acae594b-e54c-47d7-81dd-7877b564e21a · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T12:23:11.005293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:23:11.005293Z digest=sha256:b042e7a413468aa4b13d139dc71f797f4ebec6b06f6b6a48158920f8f8bcf05c

Observation 96baa19a-bd59-47fa-a703-1e64d5965d63 · outbound

This paper cites In Companion Proceedings of The Web Conference 2018, pages 585–593.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection In Companion Proceedings of The Web Conference 2018, pages 585–593

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:14.370385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.060750Z digest=sha256:9778b94c112954a9f650dd74e3b21d487307d1606ea2879fb26bfcd8696e0490

Observation 11401ca0-2456-42d4-92d4-ad68ed50da76 · outbound

This paper cites InProceedings of the 33rd ACM International Conference on Information and Knowledge Management, pages 1732–1742.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 33rd ACM International Conference on Information and Knowledge Management, pages 1732–1742

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.960882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.240293Z digest=sha256:b76d83def25ef9a2a99558ea291e2f3fdaefae3184909325f21f4282fe82d234

Observation 5494c314-045e-4e6e-bf20-40a6f03eaebe · outbound

This paper cites InProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 22–32.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 22–32

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.439516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.535183Z digest=sha256:70066b9e86135da44882838b3fb528a940488e83e9114e118e0fd67dd510b8e0

Observation f6be11cc-878a-4ff1-ba9c-3c431acc4ff2 · outbound

This paper cites Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T12:23:11.599591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:23:11.599591Z digest=sha256:73eb40be8b1adff70e14765ce650726e0823c0127c0067bf9b1bf90540c9728c

Observation 4c71a65c-888f-4f7d-ba78-21683d85ac7e · outbound

This paper cites Qwen3 Technical Report.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Qwen3 Technical Report

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T12:23:11.755971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:23:11.755971Z digest=sha256:55fe696b62d2b9a418f0aa5de787a53a81e58cd234086ba9ad4879645651a6d0

Observation 441cb8fe-f8b2-4236-80af-2a943bed070b · outbound

This paper cites InProceedings of the ACM Web Conference 2024, pages 4128–4137.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the ACM Web Conference 2024, pages 4128–4137

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.245098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.832339Z digest=sha256:5de907af84190e1a3f122ae343a8c47bda81ce0f1b9366992c8479cdc221cc47

Observation e4ac3da3-d8fa-4b7f-aa33-a4342c5a8e10 · outbound

This paper cites InProceedings of the ACM Web Conference 2022, pages 2501–2510.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the ACM Web Conference 2022, pages 2501–2510

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.039356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.930634Z digest=sha256:e084923c0a32034c4b6c672684dd48379e1481f56accb1d7d507dffa117ef21c

Observation 3ea0b041-32c2-4821-9aa8-0a9dc794d57a · outbound

This paper cites InProceedings of the Web Conference 2021, pages 3465–3476.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the Web Conference 2021, pages 3465–3476

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:12.872624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:12.019667Z digest=sha256:719b44ac03251636f75f78e4f177571ed36397bfcd34dbfa275063c5a50c9cc6

Observation 665e264c-0364-4b47-b3b7-c4a382048f1d · outbound

This paper cites InProceedings of the 2024 International Conference on Multimedia Retrieval, pages 385–393.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2024 International Conference on Multimedia Retrieval, pages 385–393

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:12.701322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:12.066054Z digest=sha256:ae4ef679e87c24dc436348e02ed1e98b42bd7c0c64adbd3b64a7cfd6b7b0ed86

Observation f30a0fb5-1270-4801-84f4-63056c2a01f8 · outbound

This paper cites Accessed: 2025-01-19.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Accessed: 2025-01-19

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:12.482988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:12.165437Z digest=sha256:7c314fe08e1b9b781e92da4d2ebac831aa0e81aa2f0e5bae53cba0de086fb0df

Observation 47f407eb-c7de-4ca5-9f03-3f925ba7dd91 · outbound

This paper cites CanyuChenandKaiShu.2023.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection CanyuChenandKaiShu.2023

Reference 1984

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:15.791221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.465031Z digest=sha256:61c093aae980539529107837011e160a1974f46fe7b34438c5bff311b27785d6

Observation 47cae102-6881-4753-916c-e0c2f8e5b924 · outbound

This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1120–1125.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1120–1125

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.631318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.432265Z digest=sha256:3bfc927c28398e9900d9ad05cf6fccf9162c0992d1e537e814ad47999a9518b4

Observation 4bdb4d42-d3bb-4db3-918d-082185a06c01 · outbound

This paper cites InProceedings of the 2018 World Wide Web Conference, pages 823–831.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2018 World Wide Web Conference, pages 823–831

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:14.956724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.766256Z digest=sha256:40c79fa8be333dac333808ade7c91600ba460d8ced3d214e1ab97e0a0fa554b8

Observation 0246ae45-3f9c-4f04-a99f-a0e467f5d719 · outbound

This paper cites an unresolved cited work.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-05T12:23:15.456666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.584564Z digest=sha256:66f96f495e39b69225e8d0022909c98e2776149f6b0704161678bdaa83f60d94

Observation 481c8f1c-6882-4bc8-8600-5d5b71aa9055 · outbound

This paper cites The Llama 3 Herd of Models.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection The Llama 3 Herd of Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T12:23:11.698401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:23:11.698401Z digest=sha256:dd9360656bad47d542f4318875b103c706f14b87f9544c459bd42fef7cff07fa

Observation 9fdae506-18be-499a-927b-4b360b5c728d · outbound

This paper cites InProceedings of the AAAI conference on artificial intelligence, volume 35, pages 81–89.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the AAAI conference on artificial intelligence, volume 35, pages 81–89

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:15.179381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:10.651168Z digest=sha256:e758938ac796c0a63ede557dd203dabf8b5ad11a47fd48b8a54d4cec2025c55a

Observation 3e8633ff-59fe-4849-ad21-c686fd920d8f · outbound

This paper cites https://openai.com/blog/ chatgpt/.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection https://openai.com/blog/ chatgpt/

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:13.782143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.345604Z digest=sha256:64536ffb58b6069f8df371e4ccc7c3dd7e31f7bae252db90d84283945ed16b46

Observation 912e2e5a-5309-4e86-bdd8-8a052baf4bf7 · outbound

This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 508–521.

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 508–521

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T12:23:14.190991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T12:23:11.139852Z digest=sha256:d4a864d02a608da392f642318753a7a97ec89f579ac71795ae42509ca602b489

Observation 29d96d14-81d7-40e9-bffb-8d44c3a1de69 · outbound

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

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T12:23:10.510091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:23:10.510091Z digest=sha256:e1df2b376481d3b1b776ea3fe2956bd314434ef5890ea78c2104fe882e647300

Pith citing papers

Observation 679f3341-49cc-4f07-b4d0-db30a37052aa · inbound

Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection cites this paper.

Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:01:16.165763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T21:00:09.342056Z digest=sha256:668bdb74c051b79d487cf20e6eea5affa25c5c176943fb36fb080a821e42970f