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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:44:22.854522Z digest=sha256:030b61e32c1136d7ce881119363185d9d009132eea8ce3c1c6b5fc946b98df08

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.863462Z digest=sha256:8955982b2e79c0ab2c9867dcafcf0d80308b0eb8be575549690b8336d4891a69

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.867192Z digest=sha256:ad69607c2f894d5b4818ac6543098ee11869b91a66a411bb4d20555d4c5426b4

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.871397Z digest=sha256:1a91120f026bb0222244a3bcc1abe835923569c975f8df74d6ce99c3cf8971af

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.874871Z digest=sha256:943720534c0945a3a195a7e9a5fc0684a19528c0de827dc358abafe610b0b463

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.878754Z digest=sha256:2eb8b9441170e95b937f3d1ebd1e4475d83ff86503a1cfeb26dc07560f089518

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.882259Z digest=sha256:f03e6c64b416f64ce67b97b86159b4f6c0af73a9a983b26e93dec77779470dc3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.885553Z digest=sha256:e4b92e586826808fe20b16d07c70df4862e9d65841210d0385c29ac794935948

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.888421Z digest=sha256:267ff276d7e7170cc65cbfb46ec70cfee411fe5d30e393bac4a19c57e4f277cc

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.891431Z digest=sha256:fe71bce20248c48585e1c741f69d80dc554af66b14ec35b97e9645c8d059f48b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.894412Z digest=sha256:28cc9bc7ec7beab706ab01f79f7e7e389bb984c272b946ca0d204fa60734bd99

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.899478Z digest=sha256:3ee728f1c8981b1f74ae4fe9e17b161abfa57887978f1c5e1a2d1e0417e9cc34

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.903223Z digest=sha256:d7af2db9d7521d8cba3b265ec948a844d2061c6d79c268d6de75f120f44db1af

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.906238Z digest=sha256:f1091ce5dbed093964b31df34a3adb701020bd8c54fece0c7c1ded80ba3b2e93

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.909688Z digest=sha256:acd1e793374536ee6547e439dd613d18d5337a7983538765902e313b06071405

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.913181Z digest=sha256:140790a212aa696bf978f7337c370c9436f5e18f4d6a0770de4be29fea22dea4

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.

source=arxiv_source observed=2026-08-05T19:44:22.916938Z digest=sha256:f280eab95b054c336f7c0421958ede7c83e8ca3faccb2a23c71d425c66064f45

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.921372Z digest=sha256:9b5041932ad8036bdee3740616b28e7f5d9fce3d37363e3b29185ec1e0eb7168

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:44:22.924495Z digest=sha256:d6103b325c9418246359d8f4780817255252a6f9798e7394c3dda61691c06f65

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.928518Z digest=sha256:b4f5b64b73656fff7125a6715f432a9704d2805f881f841aa0eae8b63aa55858

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.932484Z digest=sha256:6dc7b3f398f85d79a0571c01c9b60e0254150801a8f0d1df19d67a08926b1df2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.935664Z digest=sha256:bff9e54b170706bd721471e9e024804e4fdb236deaf17492ea05a3f59925d0f7

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.

source=arxiv_source observed=2026-08-05T19:44:22.939035Z digest=sha256:685de8be96170c8ecf96b648b23c8a0b74df449d6187205150ccc3f1112159b1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.942990Z digest=sha256:9fb95fffbc0ddd43fdd26526e5d9b42dfd6d5f0acc963f86dc83dd3c6dcc423e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.946476Z digest=sha256:a0e14d2d0b1b962fa4f6d7c39cb45fb2a13936abc83069c1ff441c7dbdd13a07

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.

source=arxiv_source observed=2026-08-05T19:44:22.949928Z digest=sha256:ae30cbf56f45fa9ffc58366191189a84f40f616a6cfab8785581ecb6dfd0ffc8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.953337Z digest=sha256:b898e2f81c8fbd7361015f851d0ebaff8f817147fdf0c8415f4a72d669735354

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.956630Z digest=sha256:465e8257de3d5765c7056e3c48e4056d2a6c710a6f4ae8caddfbf5ef13f3dd96

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.959616Z digest=sha256:b6e2b0bc2f92dbadadec836cd10e5e20fc5ced32d9081e3471fd6574013e5759

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.

source=arxiv_source observed=2026-08-05T19:44:22.963115Z digest=sha256:ff46f5545df0e98e2fff1223ffbccecc70ba8a40529518af8fd2f197552c7258

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.

source=arxiv_source observed=2026-08-05T19:44:22.966437Z digest=sha256:d20bff1ab5e2d083bdc1f85e66f67e6d4c65338f059cf329898f9547428760f7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.969818Z digest=sha256:33bcadcb52f220f77434f664ca00df435c23d0ca86db8bb485a9364fe4b865c4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.972832Z digest=sha256:8a5093402b81e5f7da2e404bbfebe0bed567bab9a9217328818da17124ca0144

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.976212Z digest=sha256:2949e89c357ed5f83116fa6f2f5387001cd582be0278cd7d2db946293612651e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T19:44:22.980239Z digest=sha256:8d84e9cbec2ff1b5b24b9ed4f8df519e921f520c506602d061e31e5ed2b7f30a

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.

source=arxiv_source observed=2026-08-05T19:44:22.983510Z digest=sha256:4e3e5acf8d194973e36f71f7624a75617cee8a2b067ea87a3721f8b55ba39dc7

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
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raw_fallback, observed 2026-08-05T19:44:23.162427Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T19:44:22.986787Z digest=sha256:107d50b220e0c4d04a5e5a65bdb491b3cc6fe4e2ebf920b7e363de363427ddd2

Pith citing papers

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