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Paper Citation Record · LEDGER

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach

As of 19 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2501.15142.

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

pith.paper-citation-record.v1
2501.15142 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:40:13.270083Z

measured 47 of 47 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

47 of 47 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb9e4a31-31b7-4978-a474-aac4f1f1241a · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.822553Z

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=2026-08-10T14:40:13.089187Z digest=sha256:dd63ba8cc65236e822689c0cf546e1664c5946dad6a86fd627919ed6199d69c5

Observation 34ae0559-1d8e-489f-9e17-3e8d471f4cf8 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.810434Z

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=2026-08-10T14:40:13.093684Z digest=sha256:4d5c428a12e8f081d7b4d53c731a2eac78687f5141d13ea8c6f67da3634d23b1

Observation 27a038a9-66db-49e8-a669-d927615d7474 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.097678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.097678Z digest=sha256:88fed4cf3f2ee6275421946769cfd145f4c06828303daacd1ce61abb8cfa78b4

Observation d18b972a-c599-4bdb-9370-0c3fd2656b80 · outbound

This paper cites Adaptive Universal Generalized PageRank Graph Neural Network.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Adaptive Universal Generalized PageRank Graph Neural Network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.101740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.101740Z digest=sha256:b42e3cdd2d44876b438428bc6bfe70f12e49518cf0092f5fae34395f37b749cf

Observation fab63a23-1a2d-41e6-9ed7-91e406d4796a · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.789320Z

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=2026-08-10T14:40:13.105976Z digest=sha256:cbc3518218f6109e36c563e9ef0d8b786eb1844ac3360f5a49914ca6e08c9066

Observation 16f462ad-79f9-41ac-884f-deee508cc4c6 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.110084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.110084Z digest=sha256:75023a2efee99ec4d4969cbb1aeeed516baa2e74b93bfeacc6e1e3cd531fe734

Observation b4e15a92-9b0d-44d1-9e00-19f9be9ea4f6 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.114375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.114375Z digest=sha256:0ca902f1e838156c7775ce8c69c20b347bbdf0e59a94dfb6af6c0f93aff63131

Observation 2fde0351-eb8b-4c26-8fc2-217734538424 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.117863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.117863Z digest=sha256:fb0ac7d798ca0be9a39da46be14870b2fbade373b07a5f91e00092670c6e25c4

Observation 3c198117-b0fe-4192-bf3b-a83b18b49caa · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.121468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.121468Z digest=sha256:02fe3010db81014fd03b839f40187f99215545609b853c2493c93f207b74c299

Observation 6c32625a-4a60-474c-a27b-a79a3c6dcbff · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.125202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.125202Z digest=sha256:31c8054f525b738994c42d2db5266d161e8b50d24c0ec2273ac17921851af3c4

Observation 5294a2ef-8a9a-48ad-ab23-5f914946eba8 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Semi-Supervised Classification with Graph Convolutional Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.129155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.129155Z digest=sha256:cd2b59377faadd889c49faa7478d524345ca4e0ba4f10972bb788d886ba96cb1

Observation c72e6de1-3a91-4d81-8132-f0f6475d26cc · outbound

This paper cites Variational Graph Auto-Encoders.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Variational Graph Auto-Encoders

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.133406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.133406Z digest=sha256:6971a82164bdba2f198c8918255af6d267c37374de4dc29795580e63b27754b5

Observation 6c123352-8f11-4f10-afd9-3cbb80e0926a · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.748162Z

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=2026-08-10T14:40:13.137475Z digest=sha256:791fee6938d45e346db65039ad85632abb690743452f3e79608542973d4910ad

Observation c441bd7e-c2ea-409b-9d97-921525b41e46 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.736424Z

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=2026-08-10T14:40:13.141212Z digest=sha256:9f528fabeae48a5d346c5fbef266ac0bc1b923d1ae56f3d16f62638436ff377b

Observation eee0e8b6-3709-4250-b835-5905321cfb57 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.725270Z

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=2026-08-10T14:40:13.144722Z digest=sha256:25824a418b87ec9aa63de11333454d4fbd0d0c240a95d7252cffe976e56981f7

Observation 6d37d595-b493-48dd-be0b-271738b0139a · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.148275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.148275Z digest=sha256:0ca9124611f46cf10e2fa48b81c58addf8142c5cc8e28c32d5df9d5be2cc69eb

Observation e43fc787-64d6-4021-ab30-7144f4abba0c · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.706781Z

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=2026-08-10T14:40:13.151731Z digest=sha256:3175a8827899389e8868c526785dda759c86b1f3c2f87310f38f940f6c557557

Observation d1fce65d-6d5c-419f-b2ce-7e976b954698 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.695863Z

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=2026-08-10T14:40:13.155261Z digest=sha256:34fb20b5a38aec159c153af5c76675a40c100fb7c28aacc5f58de28b3c89c872

Observation 03597d9e-25aa-41bb-8f27-7969c3b43926 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.684494Z

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=2026-08-10T14:40:13.158793Z digest=sha256:a02dbf11dd549a0c632f4d414ad3ba7a7e323a7267faec849f0cc84ddb0b53e6

Observation ae2f1941-8aa3-42f6-9b91-7766932c0c6b · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.162854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.162854Z digest=sha256:d26e25775646378da3bd17de078154ce11df42ba3f2750771cecb81e7bdf1583

Observation ffa00017-8cf9-4922-b577-92596638372b · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.166272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.166272Z digest=sha256:573a6b64fc794eefd874f7301a2e92131dcc68941274a5e9adb0372d04f6b007

Observation 28b77323-7212-4693-872e-71bc5fb2f552 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.174952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.174952Z digest=sha256:393465beafe2fc0131710062faa677343edff04491133153421eb8868f12b5c3

Observation 87596224-6965-4faa-9394-b63dc81f664c · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.178698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.178698Z digest=sha256:62ac1a82a27e4481a3325e66a67feaea257170edf69bfcfc23eb64a18d6dbb2f

Observation 8f491be6-b190-45cf-83e2-0510e34ac2c1 · outbound

This paper cites InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.182350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.182350Z digest=sha256:d03b4a7f15937262b5b4ea89a79de11838be835eacf541098df36ac6f258e1d6

Observation 7692c481-d6fe-44f8-bd11-e56ac857b6c4 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.186560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.186560Z digest=sha256:85c39d576eb173f4a134bad11ab19ca6597135cd395db1e3cd2cdd5d3080ad82

Observation 70d7380b-890e-4134-ab82-05348646ea06 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.190251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.190251Z digest=sha256:279c352ccf1713d549227a686741b2d55f456f1d136354e084901b8d01c7ba1b

Observation 4bb6e5fe-323f-440a-a60b-dbecebf01d80 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.194656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.194656Z digest=sha256:e5a5cc7ce7f2183b20eff4ddd06dfd595b016db41318ac60dc9e3131acb84dbe

Observation db68d468-4cc6-457d-baf8-5eb4dae4b641 · outbound

This paper cites LoRA-GA: Low-Rank Adaptation with Gradient Approximation.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.198464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.198464Z digest=sha256:2841731be18e4e0d5ea206e03a3da8ce0d49fa4bbbf2d7c0c04236ec6779f8fe

Observation fc373273-335a-49c7-ac9f-15f3f0efd267 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.202609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.202609Z digest=sha256:8e3313a5dd4adddc6ce3d4ff28eecf2a0d57acaf53382b42feec4af070639def

Observation 3ccef377-64cf-46f5-a3c3-3106b74d4989 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.617468Z

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=2026-08-10T14:40:13.206562Z digest=sha256:1176f2bb186ccc1af4fccfc2579e1eb2f8d55d066107eb60a86b5d1937785ca2

Observation 8fdbd4a1-6e78-4c28-beb7-498bca6bf131 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.605720Z

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=2026-08-10T14:40:13.210291Z digest=sha256:609f8179a84030d44e9cc006e164a34428a2489a8fa80254b9dbc23ddf5df32b

Observation 55e8bd0f-786b-4b00-9704-47b70db6ab6e · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.213975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.213975Z digest=sha256:757cf0060ecbbc1b7b5c1098b6076c1fc25eed6b2594f75f9e8421e55f838507

Observation b5b56ea4-7343-49d5-a646-2a1f81db082f · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.217842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.217842Z digest=sha256:58027d3331b0e6ff681e132457e645758ac4a71f9b5b31926ce3b70bc05d1b69

Observation 9ea82259-1cc4-4cca-a80d-dc9d3286c54e · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T14:40:13.580141Z

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=2026-08-10T14:40:13.221601Z digest=sha256:b1c9003cdccd8c1d45962b7c596e5f99cb4f9ab5119bfdc1e650a38ee74ae658

Observation c64b1dc8-77fb-4284-a8db-2a28b0fe5ea5 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.225396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.225396Z digest=sha256:970b1803f562077f6c173a2a686c0d80ce7ccd9233b08636afcfe01d17a08ecc

Observation 448f8a7f-5db4-4a4a-b55c-3de21f226f55 · outbound

This paper cites Non-Homophilic Graph Pre-Training and Prompt Learning.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Non-Homophilic Graph Pre-Training and Prompt Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.229460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.229460Z digest=sha256:ab8d248ee19b9e31be2f1be79a402818fa57fd3aa31441e5e67bbc45e5829ea9

Observation ef4b754c-7ec3-4d65-afdd-e4bee7442a1f · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T14:40:13.233352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:40:13.233352Z digest=sha256:cdb41598ef53e77ce58b763f8e5095c22a1481e8b95425ea4c82fbb228aa34e3

Observation 4e36eca0-620c-4e39-9897-94fe2b4818c2 · outbound

This paper cites Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models

Reference 38

Resolution
unresolved
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Unavailable: canonical work link unavailable.

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Observation 659f3462-7ce5-471e-99af-4c32a2d92149 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 39

Resolution
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Unavailable: canonical work link unavailable.

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Observation ca75ef56-e59e-4266-80f6-86e06b35cd75 · outbound

This paper cites All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3fde8f75-a4d2-4b76-843e-0a7ce11c9d79 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 41

Resolution
unresolved
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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.

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Observation a2b59dd1-376c-4fdb-84e0-eef2f78cdb20 · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d625f953-c0c5-477f-a75a-9f4d30554a1e · outbound

This paper cites an unresolved cited work.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Unresolved cited work

Reference 43

Resolution
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raw_fallback, observed 2026-08-10T14:40:13.515127Z

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.

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Observation b3e1ef5e-ea9c-4b8c-96f2-4aecb3e37c90 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Deep Graph Contrastive Representation Learning

Reference 44

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7a8eb3a9-1c34-40fd-8d8a-179e8343233e · outbound

This paper cites Labels for Texas, Cornell, and Wisconsin represent web page cate- gories, while Chameleon and Squirrel labels capture average monthly web traffic, grouped into five ranges.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Labels for Texas, Cornell, and Wisconsin represent web page cate- gories, while Chameleon and Squirrel labels capture average monthly web traffic, grouped into five ranges

Reference 47

Resolution
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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.

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Observation 5983e6a8-085e-499e-87ec-a4186d2f024a · outbound

This paper cites Geom-GCN: Geometric Graph Convolutional Networks.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Geom-GCN: Geometric Graph Convolutional Networks

Reference 2020

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bb642059-43b0-48e2-b071-d098bc22d011 · outbound

This paper cites In The eleventh international conference on learning representations.

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach In The eleventh international conference on learning representations

Reference 2023

Resolution
verified fuzzy
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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.

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Pith citing papers

No inbound Pith citation observations are available.