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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 22 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 2026-08-21T06:32:19.484+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=sha256:0fdcadc3c8029293ae569c77e84110a253d99abea80f57f98546ef97d043a3a9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.552314Z digest=sha256:67d01951f09ea8e9483e3b53ea57b8a6757c086e7d207d39e2f8c61064e48e3a

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=sha256:4abe68b716015c8b7cd9723f3a35316013fa6e97bb9b0534ddd8d4881537b00f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.559051Z digest=sha256:39a7c93d5727dda57e52429c1557d995c19023124e3348c445d1233484c8d1dc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.566159Z digest=sha256:500c22df3b6534ce48e9e3d6168807ef24f120c232e1db642cc3a2a9fc9838a1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.574382Z digest=sha256:7abfa4c6c7269c07773d9af8f433e73141be603ae580bbcb6908be6ce83497df

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.570981Z digest=sha256:ae4efe97c8c8315bc571fb160af4c8a636c49682220091c9bda76850044914ac

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:ffc453f636a56317b07faba26aae07adf30ad4a45d5db19a53ee556b16488d9f

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:fcdb311b61f161ae6e03ff5725cdc47fb533422748395dbb0d3f0e7eadf913eb

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=sha256:995b1ca4348addb2979f22e849ecee21cb9668b4eb0eda5cd1bbaad5f138b129

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:b370323eb15c2954d36fac0a6c955621a2e569c464f4dd41c13331f8458df1e7

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=sha256:7ca3c489f771c5c2b0667077223dd4508b1bb054830c9614613a88b01acda762

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.544857Z digest=sha256:63e83afb95f5f59547a01af27feff6b3724a5d65a8960aa4215256d9931b7828

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.548643Z digest=sha256:720773225066f35a6f8791330c1f144e1691654cf8a0e0b5fd4ee27718ae3220

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-05T13:23:08.562277Z digest=sha256:44055dd38bb9789eac5f4dad0ca9f794fa316205a598c83d7aa100ea97a004b0

Pith citing papers

No inbound Pith citation observations are available.