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Paper Citation Record · LEDGER

Zero-Shot Warning Generation for Misinformative Multimodal Content

As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2502.00752.

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

pith.paper-citation-record.v1
2502.00752 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:53:24.711197Z

measured 33 of 33 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 2026-06-25T23:42:53.179881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:29:59.932570Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 221a8d26-66c2-48eb-b8fc-872f5d04ca53 · outbound

This paper cites Open- domain, content-based, multi-modal fact-checking of out-of- context images via online resources.

Zero-Shot Warning Generation for Misinformative Multimodal Content Open- domain, content-based, multi-modal fact-checking of out-of- context images via online resources

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.933786Z

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=2026-08-09T17:53:23.942690Z digest=sha256:028824089ae1d6e973404eead21861fd13d4c7ed0f5104d5a17b510f08168f5d

Observation 5f399207-0844-4358-9471-583e19ed9d40 · outbound

This paper cites GPT-4 Technical Report.

Zero-Shot Warning Generation for Misinformative Multimodal Content GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T17:53:23.958862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:53:23.958862Z digest=sha256:2ed0116b9281bd8928d44acc600064b41b52690e1dba4c34748d335ffb625577

Observation e80e0dcd-af1b-4df4-923e-1158849b8452 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Zero-Shot Warning Generation for Misinformative Multimodal Content Flamingo: a visual language model for few-shot learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.921376Z

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=2026-08-09T17:53:23.965848Z digest=sha256:7211331585158bdb86cc526d3bec761c542cbf2decc2b244db802c117036d876

Observation a799f0af-d682-42ce-b64c-c19fde3623c9 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Zero-Shot Warning Generation for Misinformative Multimodal Content Imagenet: A large-scale hierarchical image database

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.909593Z

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=2026-08-09T17:53:23.976338Z digest=sha256:5906ebbe9413ee942a6a5e3af5d68b29b622b02c95cc8cc7278e5a4d8b314b59

Observation bed13e40-6d3e-4901-be4d-0cd522f5f35e · outbound

This paper cites Early vs late fusion in multimodal convolutional neural networks.

Zero-Shot Warning Generation for Misinformative Multimodal Content Early vs late fusion in multimodal convolutional neural networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.898601Z

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=2026-08-09T17:53:23.984644Z digest=sha256:7a49e6d0b8dc3d9754f95860f728eb59c6b0273f644c68d8f18fd5e84180c0bf

Observation 02e270cf-fbed-4d97-bb2b-d882ac0768d7 · outbound

This paper cites From im- ages to textual prompts: Zero-shot visual question answering with frozen large language models.

Zero-Shot Warning Generation for Misinformative Multimodal Content From im- ages to textual prompts: Zero-shot visual question answering with frozen large language models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.886607Z

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=2026-08-09T17:53:23.989464Z digest=sha256:39755b18aebc078d2b335a2fc64caf99a46269e88c9492f41c75179dd8cac3b3

Observation 070cd12c-84bd-4503-a675-63b5eddb9a86 · outbound

This paper cites A picture paints a thousand lies? the effects and mechanisms of multimodal disinformation and rebuttals disseminated via social media.

Zero-Shot Warning Generation for Misinformative Multimodal Content A picture paints a thousand lies? the effects and mechanisms of multimodal disinformation and rebuttals disseminated via social media

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.826815Z

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=2026-08-09T17:53:24.001392Z digest=sha256:02689425749b31cd271e661e0059df6b1497e574cf61071ee9787f22b7a366cc

Observation 31c731bd-6ed7-408a-b057-b8e18adf4b83 · outbound

This paper cites Deep residual learning for image recognition.

Zero-Shot Warning Generation for Misinformative Multimodal Content Deep residual learning for image recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T17:53:24.009870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:53:24.009870Z digest=sha256:f80437b36ba2b0ff1392a02d1374b96be759bce7d584a8d7f452f62028f339cb

Observation 14cb0634-efa7-4bfc-97c1-974b27081f61 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal co- variate shift.

Zero-Shot Warning Generation for Misinformative Multimodal Content Batch normalization: Accelerating deep network training by reducing internal co- variate shift

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.758983Z

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=2026-08-09T17:53:24.016426Z digest=sha256:ed0ce6ca0c37cc9949879fadfff1e62ca0405b4fd3ff46065fcab8d55d57719c

Observation 8329b9f6-230b-4717-936c-a4d72d5b8213 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Zero-Shot Warning Generation for Misinformative Multimodal Content RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T17:53:24.019667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:53:24.019667Z digest=sha256:41b0df6c5f415cd426c56e110545fde3e0a063ccb8903eaab49075d22a3dd95b

Observation 7eebb274-eb38-4fe4-9802-12d5618ec73d · outbound

This paper cites Visual news: Benchmark and challenges in news im- age captioning.

Zero-Shot Warning Generation for Misinformative Multimodal Content Visual news: Benchmark and challenges in news im- age captioning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.718995Z

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=2026-08-09T17:53:24.023258Z digest=sha256:d36e455015fc8141e7df3fb68880948a792688eb76a597e88abd0beeadb8d266

Observation cf047ea2-ae4d-4d60-87fb-3e1124ca9cf2 · outbound

This paper cites Robust domain misinformation detection via multi- modal feature alignment.

Zero-Shot Warning Generation for Misinformative Multimodal Content Robust domain misinformation detection via multi- modal feature alignment

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.671854Z

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=2026-08-09T17:53:24.042820Z digest=sha256:fa86efa006b1760a3eed05913fcbe397d4f056d535e362ac41745144ae32a91f

Observation 27dbc009-110a-441b-9306-0fd45f393c21 · outbound

This paper cites Newsclip- pings: Automatic generation of out-of-context multimodal media.

Zero-Shot Warning Generation for Misinformative Multimodal Content Newsclip- pings: Automatic generation of out-of-context multimodal media

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.598403Z

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=2026-08-09T17:53:24.082213Z digest=sha256:efe07caad0f40450c9dcd4f800cc248106a224a4c5116bb1e6f0008ad605e43e

Observation f28c0d2f-7d04-41a0-ba32-ff98ed58b1fe · outbound

This paper cites fake news.

Zero-Shot Warning Generation for Misinformative Multimodal Content fake news

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.527399Z

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=2026-08-09T17:53:24.104309Z digest=sha256:0693d9999dce89312b5b5fe60e27b1ae4e94e56d3cea425335040b7ef0fb286a

Observation cc4d13f7-bdfe-4538-8e4c-0d02dd20b2ea · outbound

This paper cites Representation biases in sentence transformers.

Zero-Shot Warning Generation for Misinformative Multimodal Content Representation biases in sentence transformers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.461433Z

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=2026-08-09T17:53:24.133399Z digest=sha256:12d73df0d8678055ea521a68e9227813aa85a5f595ef4808875ae8bc65857d82

Observation 7297ad60-cd94-4f89-b47b-4b9a1015548d · outbound

This paper cites Dinov2: Learning robust visual features without su- pervision.

Zero-Shot Warning Generation for Misinformative Multimodal Content Dinov2: Learning robust visual features without su- pervision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.409564Z

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=2026-08-09T17:53:24.157371Z digest=sha256:c8d4ce9f9292a930403a1e10363977974fed6680f0365722543b6ea6582f3935

Observation d85603f6-63ac-43c6-9b0a-77bd79d57eff · outbound

This paper cites Training lan- guage models to follow instructions with human feedback.

Zero-Shot Warning Generation for Misinformative Multimodal Content Training lan- guage models to follow instructions with human feedback

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.398144Z

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=2026-08-09T17:53:24.199496Z digest=sha256:f5b65a3c6981fd2f8804cd14cbb93eae7622c249ba0b926ac409d04be15f56f6

Observation ff81e043-3e32-4474-8bc2-49a0654c26ee · outbound

This paper cites A com- parative analysis of early and late fusion for the multimodal two-class problem.

Zero-Shot Warning Generation for Misinformative Multimodal Content A com- parative analysis of early and late fusion for the multimodal two-class problem

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.386547Z

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=2026-08-09T17:53:24.248175Z digest=sha256:ffdfe5882357e69b06edbbf4b9b79f258aa7a54ba821b868147241d83687326e

Observation 894267f6-9718-44d7-81c0-8beeb8c28121 · outbound

This paper cites Declare: Debunking fake news and false claims using evidence-aware deep learning.

Zero-Shot Warning Generation for Misinformative Multimodal Content Declare: Debunking fake news and false claims using evidence-aware deep learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.374525Z

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=2026-08-09T17:53:24.319148Z digest=sha256:f7299c7801a74fb851672cc636678a14f5aba6744aa0edebae6e57de0bd0c33e

Observation 472fc545-6780-44dd-a453-f80636e0b08f · outbound

This paper cites Sniffer: Multimodal large language model for explainable out-of-context misinformation detection.

Zero-Shot Warning Generation for Misinformative Multimodal Content Sniffer: Multimodal large language model for explainable out-of-context misinformation detection

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.358176Z

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=2026-08-09T17:53:24.337467Z digest=sha256:0e57b1548f22448bce12052f3dcc5e1c02e55b9e24d04e266c949bdec15de009

Observation c9ae7f77-5b3d-483c-bd36-7cc1f549c2a9 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Zero-Shot Warning Generation for Misinformative Multimodal Content Learn- ing transferable visual models from natural language super- vision

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.337132Z

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=2026-08-09T17:53:24.361588Z digest=sha256:8061814d4d2146365069f96cf33a482baab93cf32b5c799fd0f687ca8d6397d6

Observation 2aa6e5e0-ca3f-4828-ac09-9f646d4d666e · outbound

This paper cites Do vision trans- formers see like convolutional neural networks? Advances in NeurIPS, 34:12116–12128, 2021.

Zero-Shot Warning Generation for Misinformative Multimodal Content Do vision trans- formers see like convolutional neural networks? Advances in NeurIPS, 34:12116–12128, 2021

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.323381Z

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=2026-08-09T17:53:24.377332Z digest=sha256:e437b741cbd0108a5de30a4d9048151f2bdafe752d62eb2b945e09f1599d9959

Observation 04603242-f5e2-468f-81e0-08d99d92c23c · outbound

This paper cites Sentence-bert: Sen- tence embeddings using siamese bert-networks.

Zero-Shot Warning Generation for Misinformative Multimodal Content Sentence-bert: Sen- tence embeddings using siamese bert-networks

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.301072Z

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=2026-08-09T17:53:24.410267Z digest=sha256:7d2485a5ea08251106a27a297666ca1fef2bb069efc19c342651fd3c495fdffa

Observation 28f5d981-0161-44ef-86e2-6624e2c8700b · outbound

This paper cites Leveraging chat-based large vision language mod- els for multimodal out-of-context detection.

Zero-Shot Warning Generation for Misinformative Multimodal Content Leveraging chat-based large vision language mod- els for multimodal out-of-context detection

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.243623Z

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=2026-08-09T17:53:24.444383Z digest=sha256:f370883a267aabf25d6866ef6707c4d014093b5fcf4e2d95dde3a7d579686427

Observation dd9a344e-f6db-4f9c-8a05-866790c01254 · outbound

This paper cites Human evaluation of automatically gener- ated text: Current trends and best practice guidelines.

Zero-Shot Warning Generation for Misinformative Multimodal Content Human evaluation of automatically gener- ated text: Current trends and best practice guidelines

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.182721Z

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=2026-08-09T17:53:24.474111Z digest=sha256:1b70dcf9ecab15651a4ccc921f5409f9365b3ffd858ff9a6ab85805c1f706d69

Observation cf68e6db-8cd9-4b46-a52e-a351cbf661f8 · outbound

This paper cites Attention is all you need.

Zero-Shot Warning Generation for Misinformative Multimodal Content Attention is all you need

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.137408Z

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=2026-08-09T17:53:24.511000Z digest=sha256:4c3177c2318e3ebacd103345a39b15c36c59542aef3dc5b20ce58ef8b3b26dd2

Observation 9a79297b-812b-40e3-9e5c-33cc9021c84f · outbound

This paper cites Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.

Zero-Shot Warning Generation for Misinformative Multimodal Content Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.083718Z

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=2026-08-09T17:53:24.559382Z digest=sha256:022dd450670be37dae15016906120c90fa40264a5e598125aaa3fe670e009832

Observation abb19d1f-e528-4406-97a0-69ecaa6e1b87 · outbound

This paper cites Visual Transformers: Token-based Image Representation and Processing for Computer Vision.

Zero-Shot Warning Generation for Misinformative Multimodal Content Visual Transformers: Token-based Image Representation and Processing for Computer Vision

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T17:53:24.593745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:53:24.593745Z digest=sha256:bb113fe965d02ca1083f2e13abc425e2dd2547828707e5a9acfc3410afe54208

Observation 33ff91c6-a1a2-46b4-9950-a1a09541cf28 · outbound

This paper cites End-to-end multimodal fact-checking and explanation generation: A challenging dataset and mod- els.

Zero-Shot Warning Generation for Misinformative Multimodal Content End-to-end multimodal fact-checking and explanation generation: A challenging dataset and mod- els

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:25.015510Z

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=2026-08-09T17:53:24.629109Z digest=sha256:aecabe2c451e0f1e39b4355c3e6eb2185990a82269d5f4fb2ef713d2b76d244e

Observation fcb48d08-9fc2-40a5-b9d5-566ee9a3585a · outbound

This paper cites Escnet: Entity-enhanced and stance checking network for multi-modal fact-checking.

Zero-Shot Warning Generation for Misinformative Multimodal Content Escnet: Entity-enhanced and stance checking network for multi-modal fact-checking

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:24.938207Z

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=2026-08-09T17:53:24.654554Z digest=sha256:93caec602b7c37f679a8c0f47708f50739b4325e904f6345b5556215dd0e2d4e

Observation 1bf61dad-d135-476d-87bd-af750db12d1a · outbound

This paper cites Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model.

Zero-Shot Warning Generation for Misinformative Multimodal Content Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T17:53:24.672827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:53:24.672827Z digest=sha256:694d1312a26aa18d33941d75045149c918d1f831b6a06d86e99989e2dc6e880b

Observation 92767db4-100d-4288-bca7-52f97e8ffd11 · outbound

This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models.

Zero-Shot Warning Generation for Misinformative Multimodal Content Minigpt-4: Enhancing vision-language understanding with advanced large language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T17:53:24.861973Z

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=2026-08-09T17:53:24.711197Z digest=sha256:bb0c0b2bfa9260d7836cdf4dd9be024b6fe29b195c8b62fe7541713a971bfa3b

Pith citing papers

Observation 96ea7371-d488-45ea-81a1-8df20816573e · inbound

The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking cites this paper.

The Warrant Gap: Claim-Conditioned Re-scoring for Fact-Checking Zero-Shot Warning Generation for Misinformative Multimodal Content

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:29:59.934021Z

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=arxiv_source observed=2026-06-25T23:42:53.179881Z digest=sha256:052fa0877dc9ad545b35b72cbf18a4bb8325538195b480b1f7bbe40260ad7b83