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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 13 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 2026-08-13T06:32:02.005865+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=sha256:394ad2c5d169e47d2a329e47010561817f384702ca682e80c12786e750750336

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.552314Z digest=sha256:5f50ca2eebc65b7a071de34b2081645574daf6da3896a14288ff20024f9bc830

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:a72d67461b52cd5c31ac29551df458cccf14f51e74adcda7a693afec7d274d6a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.559051Z digest=sha256:8525f9063aadb3f119f2d683e7579c9d7f3e96587ba8dc2c0d51cafabea2edbb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.566159Z digest=sha256:547b2183f24415c551961e9c33f9e405a0d24bf2d8537219ef178a6bed06beb6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.574382Z digest=sha256:726c58bd3129df3cf79581a7811afde93441151c6b47e5743aad3822496c5e64

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.570981Z digest=sha256:4847c2c09f9f311baef04f3149e44d271d2372452c22b7fae9d79e72bf10d326

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:f1aad6ab1fb27a6d92c3e9b347824af4fbdbda5bdf08c76883fbec7e2d8944b3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.544857Z digest=sha256:de710c860597b944cec4bf852605391d221099a5d16e3412ff02ec29b02dfad1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.548643Z digest=sha256:a86af45b4645e1659a71ff0690f4c9475a99243641ac967f4986ddf4c198256e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T13:23:08.562277Z digest=sha256:e06562215bf962e33970c00ee57c2c3c7b939090ce023c6099608378ac31c9ab

Pith citing papers

No inbound Pith citation observations are available.