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Paper Citation Record · LEDGER

Contrastive Token-level Explanations for Graph-based Rumour Detection

As of 23 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.04366.

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

pith.paper-citation-record.v1
2502.04366 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:38:05.376688Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy28
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e658204-3f69-4701-b8f5-53f3c7b3109e · outbound

This paper cites The spread of true and false news online,.

Contrastive Token-level Explanations for Graph-based Rumour Detection The spread of true and false news online,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0e7cf2fa-37b5-472f-b2a4-32320c0cd70c · outbound

This paper cites Fake news, disinformation and misinformation in social media: a review,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Fake news, disinformation and misinformation in social media: a review,

Reference 2

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raw_fallback, observed 2026-08-09T10:38:06.514370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d62a2089-dfdf-425a-9a33-7fc2910ba255 · outbound

This paper cites Rumors detection, verification and controlling mechanisms in online social networks: A survey,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Rumors detection, verification and controlling mechanisms in online social networks: A survey,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 35e353d8-d78c-4ffd-94df-c5f5205e8268 · outbound

This paper cites Automated fact checking: Task formulations, methods and future directions,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Automated fact checking: Task formulations, methods and future directions,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 236b617a-cd77-485d-a1d9-6e49afcb59fb · outbound

This paper cites Information credibility on twitter,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Information credibility on twitter,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.132951Z digest=sha256:7f733dc40bb059f628f3a1a52fb4da20fc6471221d9ec6a293ce2375330641f5

Observation 05da86f8-5379-4080-bdc9-6d05ba26d7a8 · outbound

This paper cites Automatic detection of rumor on sina weibo,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Automatic detection of rumor on sina weibo,

Reference 6

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raw_fallback, observed 2026-08-09T10:38:05.722604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 194e8315-4999-464d-9700-f03d1641cc4b · outbound

This paper cites Real- time rumor debunking on twitter,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Real- time rumor debunking on twitter,

Reference 7

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raw_fallback, observed 2026-08-09T10:38:05.623595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.148484Z digest=sha256:218f59c5725aa2dc6a8037f0b2659bb0539568a6215c4ad95ed4ae4bfdfe9f91

Observation 1f7f6e60-3c5c-4638-be32-75c0000b3c19 · outbound

This paper cites Detecting rumors from microblogs with recurrent neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Detecting rumors from microblogs with recurrent neural networks,

Reference 8

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raw_fallback, observed 2026-08-09T10:38:06.450918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dde105c5-9455-46cb-9f05-c79c7a19c88b · outbound

This paper cites Turing at SemEval-2017 task 8: Sequential approach to rumour stance classification with branch- LSTM,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Turing at SemEval-2017 task 8: Sequential approach to rumour stance classification with branch- LSTM,

Reference 9

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raw_fallback, observed 2026-08-09T10:38:06.432970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.161975Z digest=sha256:2c953405a146bc554c7e615014a9248091cf6da6cb7ea5de9325c2547c1315c1

Observation ee2ff5ca-5240-4e04-b217-8717b06a101b · outbound

This paper cites Detect rumors in microblog posts using propagation structure via kernel learning,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Detect rumors in microblog posts using propagation structure via kernel learning,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.168275Z digest=sha256:28346010079b730764ab15836571afbf2373e642cf69280ade9dba11ac06d71c

Observation 9ba2cdcf-552f-4d8f-85c3-18878865d04d · outbound

This paper cites Rumor detection on twitter with tree-structured recursive neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Rumor detection on twitter with tree-structured recursive neural networks,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ed8aa701-2947-4685-8827-f91e6263f332 · outbound

This paper cites Rumor detection on social media with bi-directional graph convolutional networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Rumor detection on social media with bi-directional graph convolutional networks,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 020ab6a8-1e3d-43f6-b0a0-2d184ec020e4 · outbound

This paper cites Towards propagation uncertainty: Edge-enhanced Bayesian graph convolutional networks for rumor detection,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Towards propagation uncertainty: Edge-enhanced Bayesian graph convolutional networks for rumor detection,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d52c864a-cd22-4709-a0d7-e068934e9d2c · outbound

This paper cites Rumor detection on Twitter with claim-guided hierarchical graph attention networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Rumor detection on Twitter with claim-guided hierarchical graph attention networks,

Reference 14

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raw_fallback, observed 2026-08-09T10:38:06.322578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.202508Z digest=sha256:4013a8708046ac146dee3c3cc89f9997e00625d4466d50e948777e801648a739

Observation 096b942e-a9a9-430c-b159-ac489c510320 · outbound

This paper cites Fake news detection: A survey of graph neural network methods,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Fake news detection: A survey of graph neural network methods,

Reference 15

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raw_fallback, observed 2026-08-09T10:38:06.298217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.210040Z digest=sha256:bd05f46db5c13e87ed1a41c21ebdfbe7e3f67f0751e6263a9ec5c2a7705dfd88

Observation 520522b7-f69a-480c-9716-90704619674f · outbound

This paper cites A survey on automated fact-checking,.

Contrastive Token-level Explanations for Graph-based Rumour Detection A survey on automated fact-checking,

Reference 16

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no resolver link, observed 2026-08-09T10:38:05.217148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.217148Z digest=sha256:68cc5f30aec608e399cba3c9781f6483d1e42cdb30803ec21edac760eee34c5d

Observation 59666623-17fe-403d-ad67-08a755e9be64 · outbound

This paper cites Graph neural networks for materials science and chemistry,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Graph neural networks for materials science and chemistry,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.223001Z digest=sha256:45ed387c9b3b56c668cf779dd9056769f2cc8fbfc4cfafc786802334d4989381

Observation 8eba4388-b777-4136-98bc-7dbcb8b72c7c · outbound

This paper cites Graph signal processing, graph neural network and graph learning on biological data: a systematic review,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Graph signal processing, graph neural network and graph learning on biological data: a systematic review,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8dbe5499-54b3-4a03-8c25-9bf29ad349d1 · outbound

This paper cites Graph neural networks in node classification: survey and evaluation,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Graph neural networks in node classification: survey and evaluation,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fd34c6b7-e3ec-4e6d-ac21-186f0b4b530c · outbound

This paper cites Community detection in node-attributed social networks: a survey,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Community detection in node-attributed social networks: a survey,

Reference 20

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raw_fallback, observed 2026-08-09T10:38:06.186642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba7900c4-98ff-4571-9f99-c096f8e6b75a · outbound

This paper cites A com- prehensive survey of scene graphs: Generation and application,.

Contrastive Token-level Explanations for Graph-based Rumour Detection A com- prehensive survey of scene graphs: Generation and application,

Reference 21

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raw_fallback, observed 2026-08-09T10:38:06.160138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.248196Z digest=sha256:e5c383e5c6c9d7da5bdfcb0e8fb27bbfe8753d03876121bdd7118b4a1de48ae0

Observation 4d6083b0-2e4b-4fb5-91b5-17b6318b876a · outbound

This paper cites Bridging knowledge graphs to generate scene graphs,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Bridging knowledge graphs to generate scene graphs,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 60c62437-ead5-42aa-918d-c9fe2ea66555 · outbound

This paper cites Explainability in graph neural networks: A taxonomic survey,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Explainability in graph neural networks: A taxonomic survey,

Reference 23

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raw_fallback, observed 2026-08-09T10:38:06.109343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.262274Z digest=sha256:d409b3fd8c9aaae2b2f612829b8c9280a5773e7ef20ef0c70381b5074206b665

Observation 868ec8d9-eeac-4a65-a701-3a180ca1f489 · outbound

This paper cites On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,.

Contrastive Token-level Explanations for Graph-based Rumour Detection On pixel-wise explanations for non-linear classifier deci- sions by layer-wise relevance propagation,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.268845Z digest=sha256:3f2060ee879dacec6af4bbd3fb8749048d85e336e1f58436df40fffdf2fee0ae

Observation ec16377d-50c7-455c-9bfd-513d5d1db66e · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 25

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no resolver link, observed 2026-08-09T10:38:05.275448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.275448Z digest=sha256:771c7afd3780fa3ddf5c8c5b3d790d8c646298095a3ef0eeb494629eda133977

Observation 0ca1da69-5353-4836-8dd2-6863eff371bb · outbound

This paper cites Top- down neural attention by excitation backprop,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Top- down neural attention by excitation backprop,

Reference 26

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raw_fallback, observed 2026-08-09T10:38:06.057582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation faad88e2-1c60-43b5-8f18-66164db91a10 · outbound

This paper cites Review and comparison of methods to study the contribution of variables in artificial neural network models,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Review and comparison of methods to study the contribution of variables in artificial neural network models,

Reference 27

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raw_fallback, observed 2026-08-09T10:38:06.036721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.288138Z digest=sha256:491294be0522b26ae3b905c58b93f84151ba2175240b987a4f4d4fc88c436a8c

Observation 47f5daf5-329d-4373-a514-b43dddb90225 · outbound

This paper cites ”why should i trust you?.

Contrastive Token-level Explanations for Graph-based Rumour Detection ”why should i trust you?

Reference 28

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no resolver link, observed 2026-08-09T10:38:05.294809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.294809Z digest=sha256:5442eb0ff67b15e292bb3f263ceeb9e7f189627c5d5fc24d9e8c3a2bc0f94345

Observation 9882b8b4-c264-4180-b33b-5a3e7f5a123a · outbound

This paper cites A unified approach to interpreting model predictions,.

Contrastive Token-level Explanations for Graph-based Rumour Detection A unified approach to interpreting model predictions,

Reference 29

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raw_fallback, observed 2026-08-09T10:38:06.015827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.301456Z digest=sha256:1a77eae7a527534b852e65cea3659d36ff337d27f59a0caff21cb21fbc386863

Observation eb7883cc-7ce5-47e3-b32b-b4817828074d · outbound

This paper cites Gnnex- plainer: Generating explanations for graph neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Gnnex- plainer: Generating explanations for graph neural networks,

Reference 30

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raw_fallback, observed 2026-08-09T10:38:05.991472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.308009Z digest=sha256:c47a0811c790f12b2491fe1fe8d0089eda0fa90ab551529b14ffd3b0129ac6fd

Observation 7e02d04f-eb9f-4dd2-b625-b8ba582ff3a5 · outbound

This paper cites Parameterized explainer for graph neural network,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Parameterized explainer for graph neural network,

Reference 31

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no resolver link, observed 2026-08-09T10:38:05.315706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.315706Z digest=sha256:ee67c5314e109ceed45fdaacfedd289a4477e08a616d4029dbbb45948bc86e42

Observation f39d54e1-ff61-4d96-a106-6636ab567bf2 · outbound

This paper cites Zorro: Valid, sparse, and stable explanations in graph neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Zorro: Valid, sparse, and stable explanations in graph neural networks,

Reference 32

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raw_fallback, observed 2026-08-09T10:38:05.953494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.323511Z digest=sha256:05791602224f9e4b17cc63feb4f2d4720e6a6db921429e37c2df8ae34ca287df

Observation 0716bd65-edf7-42b7-bccc-a0cd146cb3e0 · outbound

This paper cites Graphlime: Local interpretable model explanations for graph neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Graphlime: Local interpretable model explanations for graph neural networks,

Reference 33

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raw_fallback, observed 2026-08-09T10:38:05.933552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-09T10:38:05.331681Z digest=sha256:e44907f1aae2b9f8ac04a18d3db91cda54c7744b0faba43c09ce876da6548093

Observation bd1fc993-c193-4726-a64c-1fcadf527789 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Contrastive Token-level Explanations for Graph-based Rumour Detection Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 34

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no resolver link, observed 2026-08-09T10:38:05.338152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:38:05.338152Z digest=sha256:b25e00e6f3c01fb9e1bd394b3e1d9ca1978be87de9d51c7d8a8071ff166d6ab9

Observation 9a86fb2a-7a53-4424-bccd-54ff34c9f72a · outbound

This paper cites Striving for simplicity: The all convolutional net,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Striving for simplicity: The all convolutional net,

Reference 35

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raw_fallback, observed 2026-08-09T10:38:05.915586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2236130f-97ca-4e7b-abd0-da72455d0bfd · outbound

This paper cites Visualizing and understanding convolu- tional networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Visualizing and understanding convolu- tional networks,

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9e54f922-83cf-4146-b1a4-ebdc66ebdc59 · outbound

This paper cites Analysing how people orient to and spread rumours in social media by looking at conversational threads,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Analysing how people orient to and spread rumours in social media by looking at conversational threads,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:38:05.879895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8cf76843-795d-41ba-8880-7eb4717c94fb · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

Contrastive Token-level Explanations for Graph-based Rumour Detection BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-09T10:38:05.370079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb100410-21fd-4264-937b-28e322ce8a86 · outbound

This paper cites Explainability methods for graph convolutional neural networks,.

Contrastive Token-level Explanations for Graph-based Rumour Detection Explainability methods for graph convolutional neural networks,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:38:05.844749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.