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Paper Citation Record · LEDGER

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes

As of 16 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.10699.

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

pith.paper-citation-record.v1
2608.10699 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:12:02.372738Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy26
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b17d7cd-472c-41f2-8d22-238fb631d048 · outbound

This paper cites Proceedings of the 2019 SIAM international conference on data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 2019 SIAM international conference on data mining , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.084136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.187703Z digest=sha256:9b9ba3d8021a23ea0fc37e9f64a198dfa54fc9b3261b62c70112cd335823e1d6

Observation a5668b7c-9aaa-4385-adf8-f31a5d550d5e · outbound

This paper cites Boost then Convolve: Gradient Boosting Meets Graph Neural Networks.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Boost then Convolve: Gradient Boosting Meets Graph Neural Networks

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.193337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.193337Z digest=sha256:3bb2a9a9eec8cf45e6aad17751d2ace389836d6bc878c343bf9d3442e395a9cf

Observation 7d3e7055-e1be-4117-9304-9570999609c1 · outbound

This paper cites International conference on machine learning , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes International conference on machine learning , pages=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.070461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.197655Z digest=sha256:67286131123f84cd0474b2e951f0909684a6d5174dd876d437c68999e341cbc4

Observation a6fe9381-1908-4c9e-81fb-32b0bf68767c · outbound

This paper cites Proceedings of the ACM web conference 2023 , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the ACM web conference 2023 , pages=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.059017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.201540Z digest=sha256:ce60e264b122f4edc2892169cafa5a5d35db202f5625e336aacbc75837b7dee2

Observation c1a80cc6-be38-47de-9ddc-56939f82ce04 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE transactions on neural networks and learning systems , volume=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.046431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.205500Z digest=sha256:e71c70acaf6a8d13703011a19f19a360d95f4c8ad2a0a6ee512e310da774702e

Observation cd389c8f-c27f-4ab9-84f7-900cc6a20453 · outbound

This paper cites Joint European conference on machine learning and knowledge discovery in databases , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Joint European conference on machine learning and knowledge discovery in databases , pages=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.034900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.209432Z digest=sha256:0af4dfe3e654c0293177447526367b07356f10c16901e98135b7644d045ecc1e

Observation 322585ec-733b-400e-a9f0-75c69a2a54a2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.213718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.213718Z digest=sha256:15a0907e973c85ed5aed40d5d6fe56ab1ac38fe55a38ad31ff9de649ef8ed55a

Observation ef035ffa-216d-4cd2-89dd-c33b5cb5e5c1 · outbound

This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.015514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.217843Z digest=sha256:c928036bf80a6c72c0ebdda9aa479caf57f7497fd5595af6cad5e9b4094be0a7

Observation f7dbda8c-0f7e-473d-bc5a-4b858d661b06 · outbound

This paper cites IEEE Transactions on Computational Social Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Computational Social Systems , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:03.003688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.221415Z digest=sha256:389844a18c8bf688540143428a7a3ef02a88d20f0fb1fa1fd1263772998fa754

Observation 59ea8753-0263-4b5c-9e12-2bda1b859244 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.225559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.225559Z digest=sha256:1937388e91ce8718c8576e2c65bf6d7e095162a871c7b25970fdf2ccf847a130

Observation 5d41fc0e-0d14-4039-8170-94c1ae8d8c93 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.991487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.230062Z digest=sha256:738fcb7eadb2f36da7a6350e4ce7584c044718f1daebccdfd016a36e6414e034

Observation d830c3a6-d49a-4d90-93be-d90dba820796 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.979118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.233822Z digest=sha256:d51f2f572ab534eb7bbeef2540ebc061eea2f9fd6167c422122a841c68855aaa

Observation 1426200e-0304-44b2-a955-a44aab55d518 · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.968056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.237401Z digest=sha256:47982b71e85c9b6e7ed209b679bb1da0d6fa93cd0aaec9f5370226295e5ec132

Observation 5e5195a4-3ad5-48b4-9836-5a4c662d833d · outbound

This paper cites Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.241230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.241230Z digest=sha256:218da69f2ae1da1335668548d6f6de170e51add4fccef38ff052451197f9a086

Observation 3b95d437-e8b8-4230-88ff-912915eb6907 · outbound

This paper cites arXiv preprint arXiv:2601.19102 , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes arXiv preprint arXiv:2601.19102 , year=

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-12T19:12:02.682615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.245425Z digest=sha256:51b2cdf63e6f53e3b0f0d01db6cc5a721418014293617aa85f403be4c347e48c

Observation 25606f68-7bc8-47cd-96c7-4d840bc74f98 · outbound

This paper cites Generalist Graph Anomaly Detection via Prototype-Based Distillation.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Generalist Graph Anomaly Detection via Prototype-Based Distillation

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T19:12:02.611779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.250002Z digest=sha256:e88dc4ddbdd61fd0a34ff803bc2ea0c4d6c916fd17f758f0c78c19b966ea9733

Observation 3ad1843c-752d-4a40-a72d-eba62f28bb4e · outbound

This paper cites Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.254040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.254040Z digest=sha256:db3f5563103b08b8af1407e3de0484b116ee44ac88f75034cd20fd0e5dec5381

Observation 5ff9c6a7-f3ae-4eeb-b63c-4e11c407014c · outbound

This paper cites Proceedings of the 33rd ACM International Conference on Multimedia , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 33rd ACM International Conference on Multimedia , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.956634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.258137Z digest=sha256:44670eeb2c3a7dfcd64e40d327d3d83cfdfcf16ec5d83627e4db123af9217969

Observation ec407758-9b93-401b-9a90-23b8ee394776 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.943965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.261967Z digest=sha256:268a2d36064b272bab242132158a29976550a1d043890043957b030ce1f22067

Observation ccfd9a99-eea9-4598-870a-e89e7fa2a662 · outbound

This paper cites 2026 , url=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes 2026 , url=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.931299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.265521Z digest=sha256:8b06d492bd73cd0ec95529af747bbd876d5d5060e5c97439115110bb467f49f9

Observation 05ed10da-35f2-4985-bd14-7909a52d9707 · outbound

This paper cites arXiv preprint arXiv:2511.17584 , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes arXiv preprint arXiv:2511.17584 , year=

Reference 21

Resolution
verified exact
raw_fallback, observed 2026-08-12T19:12:02.585253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.269092Z digest=sha256:b1b75c3b7abf95091ffb305eb7004ad41d16c0a671aa186caf7e63d2ede6cfe2

Observation 01537e87-b096-4c22-9595-bed6454f0ffb · outbound

This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.273754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.273754Z digest=sha256:69b13f0834c4b269635715cfac0d34dea8e465c9ff7bcd565657c0c67d990d43

Observation c02d612b-4b58-48ec-8f7d-59a3f189ccbd · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.911317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.278330Z digest=sha256:ac6ecc93654999102706e778579dd10cefd5baef3c239d3a6b2b639e9cee3cf4

Observation a7fde8e0-8544-46c2-9475-e9b551c4f60c · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE transactions on knowledge and data engineering , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.898145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.282063Z digest=sha256:fab4dd7be33a81ca8e9ca31ba3e201dcc30f9595f6e0fe1feb73c08aec9de0f1

Observation 95b2d769-043b-47ab-93f1-8fb50be9c843 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Knowledge and Data Engineering , year=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.883523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.286480Z digest=sha256:13cba3ebf26904059f59e9cb3aaf48d201c6a953e010222ff8066a6b64db0a31

Observation 86cb5349-e349-49bf-a960-874b53eaa26e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.871494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.290290Z digest=sha256:9771d43992a7e199dd2bafd057de55ffd335a8b3560b704d16070a48327d15b8

Observation 6f8dcd64-3cde-4c9c-ae02-e578330d86fe · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.293921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.293921Z digest=sha256:9b7e9f46ba0b4d26b40414c5a02f2297eda8b9ed73b48374435de5d8e5ed7742

Observation 88ea1ca6-b59e-42e1-8e0f-0e2cd3b61404 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.298290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.298290Z digest=sha256:6d5a0f77d4621747cad723507a461bc3433cec717e29b105d8f77364297d041c

Observation 1c643588-26e8-4fd5-9931-a8784540d802 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.851984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.302128Z digest=sha256:0b76911891104693ba6cf9f1e2a5862543a837123c0811f183ad6c7d57f29aaf

Observation e6536ce3-1e07-4fb7-91f0-34add614f43c · outbound

This paper cites Proceedings of the ACM web conference 2023 , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the ACM web conference 2023 , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.840722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.306391Z digest=sha256:49ca0dd39edf63dc2c5cbbb02341ee80b812a2de47922e9e1c854bf8b6e95420

Observation 8b508591-0941-4256-bb04-33b80039a52e · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.310055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.310055Z digest=sha256:91325b8ae8db1ded72672da4c88f8c46e93ef0f26cdd671ad7ffc5b55440349e

Observation b9cd6eb3-31a3-4a7b-8b30-926043bdc357 · outbound

This paper cites ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.822778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.313681Z digest=sha256:aaed784a066985d59d820fcf0898dfc289eed9f9f4e54d2c326496287d1c1692

Observation 33a27226-2f8a-4880-9a04-f853e9b37d99 · outbound

This paper cites Proceedings of the fifteenth ACM international conference on web search and data mining , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the fifteenth ACM international conference on web search and data mining , pages=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.811153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.317426Z digest=sha256:6c106cd900b60dc46662db33c0601637f1f382005ebcc38ce918bf644e01b817

Observation f1589428-8ab1-469a-b59d-a2c29d3cccd8 · outbound

This paper cites A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes A Survey of Generalization of Graph Anomaly Detection: From Transfer Learning to Foundation Models

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T19:12:02.447638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.322390Z digest=sha256:9edf7cbc6e75a7a1fcc54682db999831bc151818399f67669bc4850ed729a66c

Observation ef94a148-8695-4dbe-a7da-cf38c76d5ed8 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.798446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.327369Z digest=sha256:123adc31de38f6cdc9eaa2e1b52f42801514191d7d817f2701e58bc7a5c8654a

Observation a06064bd-e6e7-491b-a074-069efda95957 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ACM Transactions on Knowledge Discovery from Data , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.786496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.331379Z digest=sha256:6f9ecccd3284f335b5d1594a76420d492a6b6656c0f1ab0081f1fdd95b8da8f7

Observation 6f05b74a-f930-4d0e-89dd-ed1eae5d851f · outbound

This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.334906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.334906Z digest=sha256:5aadd63dfd3065ac4d5dcbdef65f5b3b1fe6adb0b9ff2e365357c966e11d12af

Observation 132b2c95-0840-4b1d-9078-1ceb04d36f07 · outbound

This paper cites AI magazine , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes AI magazine , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.338761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.338761Z digest=sha256:80121edbf216d021312482d880782fa4ec74081d6bf376507d880711144931c5

Observation e98b6380-651d-4d5c-ab3e-10413374c8ed · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in Neural Information Processing Systems , volume=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.342356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.342356Z digest=sha256:5c2cfdfd151f5a510b1bc97545e905f7412947081073bb974bd8c8942c4fbfcd

Observation 1906d9e5-905e-4a33-b1b2-cb2d9bbba338 · outbound

This paper cites When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.346042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.346042Z digest=sha256:eee557fe433b4ad885577745e38e23989446c944305f98efcd2783d1b107d7b9

Observation b9bb43d7-cdcb-422a-876e-d8a313447b04 · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.349788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.349788Z digest=sha256:52499b24e29128506da4b25ecc8b3434bcb8b1b7da6e875801b0741133129c99

Observation 9c26061b-3537-4e9f-a1c8-f72b7cfcb3a6 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Forty-second International Conference on Machine Learning , year=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.751247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.353692Z digest=sha256:8ad77fc4a9d3e4a689eccec21e227cc59176ee8243ed16b3f3aa3ac0f7884c81

Observation 9c858691-75b5-4eb0-86d2-b2baa82ad584 · outbound

This paper cites Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the 47th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.358247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.358247Z digest=sha256:fd5828cc8441abeb244e0b668829c3351fb92038a7a74c733a4cca80222673e6

Observation 20f6d64c-252c-4499-9814-35e54dbb990f · outbound

This paper cites Advances in neural information processing systems , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Advances in neural information processing systems , volume=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.361713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.361713Z digest=sha256:9a2a85d951388342e9e96d9fd3b77e15bfde92d0f510aaa5aafa549c85ecb586

Observation 6973fb79-598e-4007-b40d-b636d55efa83 · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T19:12:02.365399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:12:02.365399Z digest=sha256:890137f8f029f29fe92817ff26ab3be95299efab0ba683f14fc21df0541959da

Observation 14e1424a-ce00-46d5-8a96-6a020fa59be8 · outbound

This paper cites ACM Computing Surveys , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes ACM Computing Surveys , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.726308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.369216Z digest=sha256:88de2263fc96a5e298b77f3df65935bd0681f3ae0a6561d104c8c215c95bfa54

Observation 7f0004d3-480d-48f0-ab66-1d4633e517a7 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

ProTAGAD: A Foundation Model for TAG Anomaly Detection with Decoupled Topological and Textual Prototypes Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T19:12:02.715198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-12T19:12:02.372738Z digest=sha256:ab1ef8e806c14291cd1b404689f1737291fb075eb4289b742a6213194a042b8a

Pith citing papers

No inbound Pith citation observations are available.