Paper Citation Record · LEDGER

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2508.16223.

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

pith.paper-citation-record.v1
2508.16223 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:29:10.933947Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

49 of 49 outbound references displayed

verified exact1
verified fuzzy1
unresolved46
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38832032-c627-4b57-b90e-690df32f7189 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:18.725718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5fe1442-c5e9-4c7b-ac4f-e78ee55c83b9 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:18.474198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b56c361c-ca6a-4a80-9f10-2cdf3bb72ba3 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:04.453846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9c0ed9-c611-4cfb-b0a8-4ddf935ca57c · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:04.638184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 865939ce-c731-4bec-b8ad-ab9c4f560e2f · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:18.222951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1a3d1d55-ac7e-464c-b397-31c096e5e2c5 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:04.900747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7b3ded-354d-4d32-904b-510d057cb8ce · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Explaining and Harnessing Adversarial Examples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:05.043497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61fdc273-958b-441f-92d8-238fb37befff · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:05.197681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dcc1757-b136-46e1-bde5-18256c8ad728 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:05.378563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 852c22b0-3fad-4a25-9c0b-046014561a3e · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:05.517092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2caed5c6-cb65-4a7d-bbac-34ada50f24f7 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Classifier-Free Diffusion Guidance

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:05.646402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 042d70e9-17e8-4784-98ec-0b031147d2f2 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:17.895356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a6e47eb4-8708-4fea-8b0d-23426ce0bb8e · outbound

This paper cites AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T17:29:11.328273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c52cc7a-45be-4977-a4e3-e80a6611d0d8 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:17.651357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec8fe4be-2efb-46b5-beda-d5a5eb96202b · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:17.328440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b691005-1942-41a1-a275-bed872210341 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:16.997951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c379a97-6ebb-4460-8b3e-835ac5d049f2 · outbound

This paper cites Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:06.474393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388d41b2-8515-4281-9dd7-65009c117fdc · outbound

This paper cites Mist: Towards Improved Adversarial Examples for Diffusion Models.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Mist: Towards Improved Adversarial Examples for Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:06.625665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad151494-efad-4603-b5da-2ee1c3855a79 · outbound

This paper cites Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:06.765795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d18b07-8e23-4deb-9d5a-c718d3706431 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:06.877762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31992cfd-53c5-4515-89f7-ebaed4571062 · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.027409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5814bc9d-db52-4fb6-93f6-7c0740574132 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.202288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf2fcde-e6d2-48c3-a5c0-2e86f92566a3 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.326075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 607895e9-cf32-4d58-9705-5997b9ed5e2f · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.489261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c130db82-5d7e-4567-89ae-338a266c298e · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.772802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c40ce7-551f-4644-8f8f-ebee0e28fe5a · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.932354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fac157-f7d9-4f93-9aaa-7f87a8d61187 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:16.730262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d4d5d84-f2a0-442f-91a8-9baf5dfe3923 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:16.349564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fedecef-e997-4089-a982-5bb661eb2714 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:16.059491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b306f37-01ff-4253-af41-a12730faf5c3 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:08.489758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b40f9990-0fa7-4eed-84cf-fc43b3bd2eca · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:15.475387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb85e9b6-a076-4bb1-85ba-8afed1ad8508 · outbound

This paper cites Denoising Diffusion Implicit Models.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Denoising Diffusion Implicit Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:08.897458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da043c95-2c24-41dc-a076-5a8ca3528ad8 · outbound

This paper cites Intriguing properties of neural networks.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Intriguing properties of neural networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:09.087000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60071a7c-f534-48ec-805c-4513afb08362 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:15.176286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ceac17de-dc72-4ec2-9c5b-cf50b374a52f · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:14.768657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f755d23d-5dd1-44f8-bfb2-ddf9e05dbde5 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:14.437227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b64e731-1aff-4700-8d80-300401153bc1 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:14.094167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 857bdf87-7955-49d6-b094-1d4dbfa05d76 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:13.812535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30564a62-f35c-4ae9-a502-2002a17777c3 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:13.497234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 18d50d1a-5b1f-4a79-b8bb-86e2c7d7aa76 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:09.962109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b982293-2593-4dce-964c-f6c2825ff02f · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:13.197628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 359a8d30-3738-4d73-8570-bbe6e6ba9f7f · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:12.921113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5c18eadf-aeed-42ac-9001-4e919c8b32a3 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:12.682127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec3d3ecd-995f-4432-bd40-75474131ebe2 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:12.379588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab436412-f80a-41fb-a608-4faeb9640c6a · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-05T17:29:12.076188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe75adf6-095d-4f04-8a34-b97d60a599b7 · outbound

This paper cites an unresolved cited work.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:10.832587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c5601b4-1419-4532-b642-be90e122b22b · outbound

This paper cites In International conference on machine learning.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media In International conference on machine learning

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:29:15.762827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11718419-0f54-41e2-862f-20f711ac07e0 · outbound

This paper cites In Proceedings of the IEEE conference on computer vision and pattern recognition.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media In Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 2018

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T17:29:11.720179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2384d784-12b3-41bf-8562-edbb26b69c73 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Dac-Fake: A Divide and Conquer Framework for Detecting Fake News on Social Media Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T17:29:07.637789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.