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Paper Citation Record · LEDGER

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.12526.

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

pith.paper-citation-record.v1
2505.12526 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:40:42.790780Z

measured 40 of 40 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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved23
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation efc66884-5d08-4f5e-b8cd-5217df897a49 · outbound

This paper cites Arazo, D.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Arazo, D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.328349Z

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.

source=pdf_text observed=2026-08-15T20:40:42.638041Z digest=sha256:6242e521b68c1d56a44a009f82c849342b15a5f6c2ac942efd95a354a3e28d9f

Observation 646d9ce7-27ee-49a0-af84-17b18a69a6a2 · outbound

This paper cites Bertin-Mahieux, D.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Bertin-Mahieux, D

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.316692Z

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.

source=pdf_text observed=2026-08-15T20:40:42.643060Z digest=sha256:35827bcb6152072820020cb0b46a244d4b992dd8f4513f5a26d1fe1c69c1bdc8

Observation d5ede6f5-7a4e-4754-a387-3ac5dee021e0 · outbound

This paper cites Bottou, F.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Bottou, F

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.305403Z

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.

source=pdf_text observed=2026-08-15T20:40:42.646962Z digest=sha256:083227b01b4c0b2aa8628eae6acddd15a6c26a9ee8604c8be389216118257239

Observation 16e82c56-4988-4c45-a93a-0a11e49a94b1 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.650815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.650815Z digest=sha256:f0961bdd5c764773d29b67a9f0062632c716e61411c6cf53eb0526d8d939c657

Observation 8a44e819-8823-4bce-bb0b-ac6a37b9e63d · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.293492Z

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.

source=pdf_text observed=2026-08-15T20:40:42.655074Z digest=sha256:90bb9cd087fdc5080b0d6f8879abd1f5cff095b796b6808684b793b70b1ea9d6

Observation 47b03bce-a894-424f-ba60-3fb9ba1fc1ef · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.280385Z

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.

source=pdf_text observed=2026-08-15T20:40:42.658874Z digest=sha256:a246259895da75dc3f579ed757cb3f796bd000353fc35136a25b36f3b416aa7f

Observation bed694c5-1a25-468b-9be4-9f0eb3c3be1b · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.267704Z

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.

source=pdf_text observed=2026-08-15T20:40:42.662764Z digest=sha256:3988aadd0d1e1628e28602c02f54616573fe32c8aaa3ce6e15c882dc48077874

Observation c48cf87c-81d7-405c-94e7-8799cda2f44c · outbound

This paper cites Gastinger, S.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Gastinger, S

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.256318Z

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.

source=pdf_text observed=2026-08-15T20:40:42.666448Z digest=sha256:b97c69cfa8761fa8a2101b1d927017af32e8c3995f967a32e29ccd68ae5f61fb

Observation 4c29dfe9-c777-4aae-b337-428399c897ca · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.245020Z

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.

source=pdf_text observed=2026-08-15T20:40:42.670246Z digest=sha256:4554ce6e84e7a828a782962325e59d80b26be91dcd561c8d48f24f1244741df6

Observation c50a57a1-59da-4858-b358-ac9fa7dc3a2a · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.234239Z

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.

source=pdf_text observed=2026-08-15T20:40:42.674319Z digest=sha256:a5e5350dc49392502ff7bb0ec10d008d6b48be9d1ee0a877db8b5d53b53e4337

Observation e0584141-266f-4d42-ba97-8065ff2bfc8d · outbound

This paper cites Huang, F.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Huang, F

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.223064Z

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.

source=pdf_text observed=2026-08-15T20:40:42.679225Z digest=sha256:220eb1b3784cede7f4efdb18f8277efa7228f9a6c3237edcbc4612dfa4a42b9e

Observation 6e6772f3-e8e9-485f-82fa-f678e1ad2dc3 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.683904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.683904Z digest=sha256:00cd016fcc9bd1f34c39a7d1921a3919a673399056eba36f0fbb5edbde99d493

Observation e95d9db2-9c74-48d7-ab2e-3ba9abfd6cf6 · outbound

This paper cites Järvelin and J.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Järvelin and J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.204366Z

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.

source=pdf_text observed=2026-08-15T20:40:42.687813Z digest=sha256:1345e67e3f4ea66d6b112d5e0f05eddc468e8ba65994985d56be3a243edc1e31

Observation f162ed6a-d452-4e51-adfd-ae4a00566297 · outbound

This paper cites Johnson and T.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Johnson and T

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.192250Z

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.

source=pdf_text observed=2026-08-15T20:40:42.691414Z digest=sha256:e0caae47d08674583219fcfd635e92c02ce63a57f3ed2a0fc76ac21f6a9ef6e3

Observation dce5f77e-18db-4bca-8703-ca9b883bf556 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.179653Z

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.

source=pdf_text observed=2026-08-15T20:40:42.695191Z digest=sha256:1633f44878e20321eee4fdb37236673a01aab6851f92f2405811c52fba441cb9

Observation 157f5783-834b-4cd5-aa18-6fb955a4b07b · outbound

This paper cites Klenitskiy, A.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Klenitskiy, A

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.166869Z

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.

source=pdf_text observed=2026-08-15T20:40:42.698977Z digest=sha256:eb0bb34006d3ade05cfa4d45094c56314d19ac780042bbad8ee26decdd30677f

Observation c4f6599e-2089-456e-bbe5-a28396927c9c · outbound

This paper cites Kumar, X.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Kumar, X

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.153545Z

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.

source=pdf_text observed=2026-08-15T20:40:42.702368Z digest=sha256:d8d962c26589630ed14238b0166ec50e8b2635796a36c11e2519b1717a6d7ad6

Observation 691a8c87-858e-4476-b9d5-2f42c106c9e8 · outbound

This paper cites Lee et al.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Lee et al

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.705736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.705736Z digest=sha256:708a13baeb0f5eda0cd5f51689c848354c9519b3a3b263ee9d829449d8da49dd

Observation 83e53c46-1b4a-4c1e-a049-1740ed9b6a06 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.128805Z

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.

source=pdf_text observed=2026-08-15T20:40:42.709212Z digest=sha256:477de02d40e8ebc1ae2e711d953abab13917d1e37627a337c00a4b5be76170cc

Observation 2bd2a43c-7b9c-4443-bfad-c5ca55f63c52 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.117461Z

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.

source=pdf_text observed=2026-08-15T20:40:42.712846Z digest=sha256:eec7988f4810cf23373d69786f19a4704948eb403fbad8475f213dcd90dfe67c

Observation 2708b179-38b7-470a-a55c-ea9bcd459bb8 · outbound

This paper cites Pfaff, M.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Pfaff, M

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.106315Z

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.

source=pdf_text observed=2026-08-15T20:40:42.716687Z digest=sha256:35018aa64e37ca942f2c571f4b69da4573724c37b3c004e4f5e37ee427a3047a

Observation 4786ea51-85ba-4c59-bbb6-56a8d0f8aa42 · outbound

This paper cites Rakhlin, O.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Rakhlin, O

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.094735Z

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.

source=pdf_text observed=2026-08-15T20:40:42.721057Z digest=sha256:668bb9f712b07bd24d0aba621910f15039f3aefa8f720dd4abefbb083fd75732

Observation c1f2da14-8f0a-4272-9a76-bbf595408aac · outbound

This paper cites Robbins and S.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Robbins and S

Reference 23

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:40:42.724878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.724878Z digest=sha256:21dd85b805fbcfa06ee77825994a793958a3264cbe63dd3daa9a81e29da34514

Observation e1921924-1d22-4dea-b6d8-797994422f2f · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.728440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.728440Z digest=sha256:7b9b284419fec7807be070d789126e021ff4aa26553900a90f009280b3c24f6c

Observation 5d001ec1-d5f8-4b4a-931b-84dc454550b9 · outbound

This paper cites Sanchez-Gonzalez, J.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Sanchez-Gonzalez, J

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.083063Z

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.

source=pdf_text observed=2026-08-15T20:40:42.732650Z digest=sha256:78df11e459aa4bf46cb80aebdbcd494f43322e25f9d2b2731124d34417e61b07

Observation 4f2de479-5a9e-486b-ada9-354aa6931d6a · outbound

This paper cites Shalev-Shwartz and S.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Shalev-Shwartz and S

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.736185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.736185Z digest=sha256:87d73c738a519a43fd5ded12335b37a44776012516575dc18c923a456130b19a

Observation 4d195da7-9b0f-4425-b954-ab8f5e8917fe · outbound

This paper cites Shamir and T.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Shamir and T

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.062674Z

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.

source=pdf_text observed=2026-08-15T20:40:42.740759Z digest=sha256:e3b37ba6f8c91d5d9854f8c43f1cd7306435f639b5f4d269134c58e63a665117

Observation fdf31fde-26db-4fa9-b1cd-64c36fa7aea8 · outbound

This paper cites Shamsi, F.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Shamsi, F

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.051407Z

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.

source=pdf_text observed=2026-08-15T20:40:42.744678Z digest=sha256:32bd2fece21aa2a95e767b622b2a5e68630ddb4a9bbbbaa591d5dc8244650c40

Observation b0759cd6-4af7-407e-b008-a66a613ef50e · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.038883Z

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.

source=pdf_text observed=2026-08-15T20:40:42.748372Z digest=sha256:7f2e6f210452e6ecf0480eb1cb01249d25208ac60083852e6862de73c875ca52

Observation 3be85311-e145-4bac-af71-c3ca1c3568c1 · outbound

This paper cites Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.752178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.752178Z digest=sha256:d74d142c79dbbcd9ac29c081d74327e1abdd5c956ae1907b138d8c39f034354d

Observation 4f29cbef-8beb-4ad3-b73e-98df73eb81a4 · outbound

This paper cites Trivedi, M.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Trivedi, M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:43.025742Z

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.

source=pdf_text observed=2026-08-15T20:40:42.756278Z digest=sha256:2a633537d55c30745c03d41ff30af9de43e90a804c837d1951ea8b086ab3f764

Observation 8a90897a-951b-45e3-8046-e63e410af72e · outbound

This paper cites Unifying Graph Convolutional Neural Networks and Label Propagation.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.759903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.759903Z digest=sha256:0a5b78dba294654f6c14b19dae938628d36d30a897bac043a765c4584e771fd4

Observation ca7345bf-0456-4c8b-bff9-60082c646d93 · outbound

This paper cites Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.763932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.763932Z digest=sha256:40e583656426afa203e6cc56f6c943e2886f4c8a87ee5ad687c6b7642381aaf3

Observation e26f94cd-0bde-4258-9131-79d753d3362c · outbound

This paper cites Xie, M.-T.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Xie, M.-T

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.767967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.767967Z digest=sha256:98ec1412252e5d1a995b3d31ae38f93a647ad7a6dec9e58829188aabe9c5158f

Observation a4f527b9-c30c-4701-91b0-b8145bfa15a8 · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Inductive Representation Learning on Temporal Graphs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:40:42.771430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:40:42.771430Z digest=sha256:39e1648f0919b4bd8b61488307361db9c381c53afecf1f3eae24c45174275f79

Observation a1182f84-3d41-407c-a53b-2645598fa884 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:43.004872Z

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.

source=pdf_text observed=2026-08-15T20:40:42.776140Z digest=sha256:fb36a2ea29addf240bb4ea7e3d7788fbdc8f240d1f7e50a9d25e8c3aafda949f

Observation 48f9e2be-8752-4b53-a6d7-ff910ec23399 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:42.990894Z

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.

source=pdf_text observed=2026-08-15T20:40:42.780000Z digest=sha256:202e03963b00c79ffb1153c92ec5b66c70e54dea10a751c04a86e7bf9179c20a

Observation 45d35bfd-59bc-4435-97fc-e9e5e0e30d89 · outbound

This paper cites Zhan and C.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Zhan and C

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:40:42.974854Z

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.

source=pdf_text observed=2026-08-15T20:40:42.783396Z digest=sha256:86a4e89b27b82ba89d491ad05e4ea67bdd2737cd35c8a1032712270d532444db

Observation 4d88b426-6c54-41ec-9898-a6f7087affd1 · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:42.961687Z

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.

source=pdf_text observed=2026-08-15T20:40:42.787277Z digest=sha256:9e8f7127d9d561d85e49ecd5c278784e47ec4f56b829cece15ab20e308bd1f4f

Observation 42d376bd-7381-4818-895b-f718b65721fd · outbound

This paper cites an unresolved cited work.

Never Skip a Batch: Dense Learning of Temporal GNNs via Adaptive Pseudo-Supervision Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:40:42.949312Z

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.

source=pdf_text observed=2026-08-15T20:40:42.790780Z digest=sha256:e596805214e18c81a50f80d53a01310317cfec405ac018fab925c4a5d39bd4ce

Pith citing papers

No inbound Pith citation observations are available.