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Paper Citation Record · LEDGER

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.00735.

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

pith.paper-citation-record.v1
2509.00735 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:23:08.574382Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14105287-48af-4a73-be7c-6dbbf3adf43c · outbound

This paper cites Inductive Representation Learning on Large Graphs.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Inductive Representation Learning on Large Graphs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.525457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.525457Z digest=sha256:b1ee76506916d510b105837d04cab5a197a8c27ac96a0c54b50708df3327353e

Observation cffa4b54-8fde-4dc0-9607-c0785445e918 · outbound

This paper cites Towards Robust Graph Incremental Learning on Evolving Graphs.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Towards Robust Graph Incremental Learning on Evolving Graphs

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:23:08.638734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.552314Z digest=sha256:ef1f1a272d8db34d2f096cb246c11d0256a124384afdefdf524534394569a0bc

Observation 4a29ea96-ff1f-4b38-9b2b-603e1464e2b5 · outbound

This paper cites Continual Learning on Graphs: A Survey.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Continual Learning on Graphs: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.555719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.555719Z digest=sha256:c493daa57301e62a81e5f1c6b24439c8572206a299af7c2b4ac97408ca7b1448

Observation c14cbb49-3164-4966-b8b6-140a40d15e8f · outbound

This paper cites 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13709–13718.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13709–13718

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:23:08.785291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.559051Z digest=sha256:466f8b145f13eed1083e5ed2faf68eae4e4ea184064925781a4418dad0e088fd

Observation 19e002cf-30e8-493b-965d-f4d5e7909f79 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence, 45: 4622–4636.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning IEEE Transactions on Pattern Analysis and Machine Intelligence, 45: 4622–4636

Reference 13

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T13:23:08.772657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.566159Z digest=sha256:2ba05eec5122ad2a787e7c9c97fdfabec28a11310ab620798fd9b845578c8101

Observation 868b84a0-1f09-43d6-8df0-1dd607a79e47 · outbound

This paper cites • ER-GNN (Zhou and Cao 2021b) is a replay-based method that constructs a memory buffer by storing rep- resentative nodes selected from previous tasks.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning • ER-GNN (Zhou and Cao 2021b) is a replay-based method that constructs a memory buffer by storing rep- resentative nodes selected from previous tasks

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:23:08.747624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.574382Z digest=sha256:e40d252a758a87fc535795b864fbb589190e534fc296c975abc7ccbfd497897a

Observation 2e138afb-3043-4e65-a595-5d285f297c79 · outbound

This paper cites The objective is to classify posts into their corresponding communities (subreddits).

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning The objective is to classify posts into their corresponding communities (subreddits)

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:23:08.759702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.570981Z digest=sha256:b4c654012c8eb341dabb76ebad92b5ea9d93fc934e0d8d488aa3c5f3700cd076

Observation 19d11f57-e9ca-4cf0-a6a6-68ce8e09c661 · outbound

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

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.536984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.536984Z digest=sha256:6b57e16d60bf74fbcb9be11c1d5fe741dd1db3517b705755c474b5efb9f395ec

Observation 26b537d7-7c47-40fb-a16b-d0c7e534f954 · outbound

This paper cites Memory Aware Synapses: Learning what (not) to forget.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Memory Aware Synapses: Learning what (not) to forget

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.521206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.521206Z digest=sha256:2a59dbdfe305603da4de16ed1cc4bc55210453cdadbdb113cc0b8b69726a2f6b

Observation 1cc54d3c-7af1-44bb-a669-ab63948a46bc · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Parameter-Efficient Transfer Learning for NLP

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.529256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.529256Z digest=sha256:40228d3fa9b4cee58c7f7810a46c398ca1480e1e6ac3b4b2b7eac0f22548fae8

Observation 9d0a692f-520b-41d9-8258-dd55b59d57a0 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.533196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.533196Z digest=sha256:6ae1a3dbc0204581cf909badf7d31ba61937fee35c430810ba944b37c1aa8399

Observation 2c34310d-d4a4-44d9-a614-a0b39475f715 · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T13:23:08.541155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:23:08.541155Z digest=sha256:9185816cee6a14f532700aaac974462ae76cc969062ca1e3aaeaf95045191354

Observation ca9c461b-bb16-401c-82bd-730c5e2ed86d · outbound

This paper cites CaT: Balanced Continual Graph Learning with Graph Condensation.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning CaT: Balanced Continual Graph Learning with Graph Condensation

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:23:08.668803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.544857Z digest=sha256:3a11a3bf89c57a05ecd58d9845b2d673f97c2a8eb89ddc957d1a05197dd3791c

Observation 1e61f760-d208-48f3-93c1-5cb3088daa10 · outbound

This paper cites PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:23:08.653742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.548643Z digest=sha256:ddc3b1af8ac8797ef50a0b6107b9faaad240ab9d31135c18004cfe2cad7542a3

Observation 2bacf7a9-0ed3-4b00-8881-24fbaa96a611 · outbound

This paper cites Prompt-Driven Continual Graph Learning.

Task-Aware Adaptive Modulation: A Replay-Free and Resource-Efficient Approach For Continual Graph Learning Prompt-Driven Continual Graph Learning

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:23:08.610267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-05T13:23:08.562277Z digest=sha256:b9bb0c1e867c392d87efcbd302bbae2d5bd97084356864041739378426ea8f56

Pith citing papers

No inbound Pith citation observations are available.