Paper Citation Record · LEDGER

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2508.11933.

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

pith.paper-citation-record.v1
2508.11933 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:44:22.986787Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

37 of 37 outbound references displayed

verified exact6
verified fuzzy11
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f6990f3-ec9f-4884-a642-1d090e8d3ff4 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.854522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dde82e2a-98aa-4c85-adf0-86946723d4da · outbound

This paper cites Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.143012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a017ee0-214c-42c4-973c-559ad2d5d11c · outbound

This paper cites A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.130353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 66568882-935a-4a42-9fbb-59bdbef1e741 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.370276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2febdaf-45dc-476c-ba2e-8a32a476b2d1 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.360635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e9f4dcd9-930a-4988-bcb1-e4a2c95bea8b · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.351525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8034ba8c-21cc-4948-8e62-c0d6efc99cc4 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.342263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 925952f6-43a0-45b5-a213-9cac8a294330 · outbound

This paper cites Li and W.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Li and W

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.333503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0247378-9712-4262-9666-1c544e192b01 · outbound

This paper cites Liu and W.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Liu and W

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.323742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f50b13f-27de-49e1-9635-426c2bec4053 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.314045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cec99ded-5859-4bef-91be-2f88a7b441b3 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.305979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de3551ed-1d34-4ef9-9175-3d88e256930a · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.297769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a4332a1-51ff-40b0-aa2e-f2589dac65fb · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.289490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4506d292-1959-4458-82fb-f734f3be61dd · outbound

This paper cites Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Sentiment Analysis and Effect of COVID-19 Pandemic using College SubReddit Data

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.117903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af50f0fd-a630-4134-8aad-aa80585a9855 · outbound

This paper cites Perrin and S.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Perrin and S

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.281415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c7f0caf-5803-4e92-b3e4-a3671a897b5b · outbound

This paper cites Pearce, B.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Pearce, B

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.272239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb3c9f7f-e924-4b0d-acaa-0dff5078a0a3 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.916938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d03b62bf-6fca-4c3f-80e8-1f5f86d744cb · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.263467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef6fed78-bf9c-418b-bf54-1876b54f8e17 · outbound

This paper cites GLTR: Statistical Detection and Visualization of Generated Text.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection GLTR: Statistical Detection and Visualization of Generated Text

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.924495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 080f73e3-0440-406d-82a7-b27cec3c901d · outbound

This paper cites Homogeneous isosceles-free spaces.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Homogeneous isosceles-free spaces

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.088805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff7a4e4b-7018-4640-bf98-e365ff660430 · outbound

This paper cites Jaiswal, T.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Jaiswal, T

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.253766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e912ec01-635a-4af1-9051-91bd66283f9b · outbound

This paper cites Mitchell, Y.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Mitchell, Y

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.244257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7aab83fc-57c6-414a-8105-fc8c6c0367bd · outbound

This paper cites Quantum Kerr-de Sitter black holes in three dimensions.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Quantum Kerr-de Sitter black holes in three dimensions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.939035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e267b76-8cc7-4c2a-8010-837e89a8f0b6 · outbound

This paper cites Dissipative light bullets in a doped and weakly nonlocal optical fiber.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Dissipative light bullets in a doped and weakly nonlocal optical fiber

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.068837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c4218ce6-7ed1-4284-9699-040929ca0a5e · outbound

This paper cites Zhou and S.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Zhou and S

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.234353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 634cfe21-f8e3-43fd-9c8e-8a61afef057c · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.949928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f37b7ed-d661-4b59-a1a1-ffbf53bbaba7 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.224332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e17ea600-7d33-440a-8a85-6d64bd1f34a5 · outbound

This paper cites Kirchenbauer, J.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Kirchenbauer, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.214796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 44a7780c-97f3-4c44-81a5-2f1e79fad58f · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.204926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c925456c-3b2b-41a7-9db2-908b601362be · outbound

This paper cites MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.963115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9729f434-bb03-485e-bb76-4a2119ab74af · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.966437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7869c06-03c5-4689-b89f-f8ca39878802 · outbound

This paper cites an unresolved cited work.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T19:44:23.194213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e5b0f6c-7ec0-42be-95f3-082bf1f5dc77 · outbound

This paper cites The comparative study of high efficiency of Tm^{3+}-doped fiber laser at 1.72 \mu m for different pump schemes.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection The comparative study of high efficiency of Tm^{3+}-doped fiber laser at 1.72 \mu m for different pump schemes

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-05T19:44:23.031535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation afc33768-dd8d-4a32-a131-db633cc2233f · outbound

This paper cites Tian, 2023.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Tian, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.183758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 079664d1-f835-4273-9e60-c15ea16b711d · outbound

This paper cites Verma, E.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Verma, E

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.172363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d62fa0c-515c-47e4-a037-f61943e495db · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection ReAct: Synergizing Reasoning and Acting in Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T19:44:22.983510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1a569c9-20fc-4567-9084-cadbdcd85000 · outbound

This paper cites Pearce, B.

CAMF: Collaborative Adversarial Multi-agent Framework for Machine Generated Text Detection Pearce, B

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T19:44:23.162427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.