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Paper Citation Record · LEDGER

Gradient Episodic Memory for Continual Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1706.08840.

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

pith.paper-citation-record.v1
1706.08840 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:05:19.313510Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

497
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8d793dcb-f087-412f-af40-680154f741b4 · inbound

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies cites this paper.

Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies Gradient Episodic Memory for Continual Learning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:22:44.415072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:3e37b2f8ddfa948cf009d28c4f718f3a51be46d3a169259e46e8fd7b5ceabdca

Observation 3ea5db28-c5b5-40d4-9812-b9d0aa5e1a68 · inbound

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents cites this paper.

MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents Gradient Episodic Memory for Continual Learning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T21:17:01.751940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:17:01.751940Z digest=sha256:ea98a05a7a1fe9d11bb5dafb4f22ad3b1076afc4e469e78fcd851dd9bc164e04

Observation a86a5345-a3ea-4bd0-81a3-9fb4b3478eb4 · inbound

TinySubNets: An efficient and low capacity continual learning strategy cites this paper.

TinySubNets: An efficient and low capacity continual learning strategy Gradient Episodic Memory for Continual Learning

Reference 6

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no resolver link, observed 2026-08-11T15:37:46.168561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:37:46.168561Z digest=sha256:db09de1f3d54e41f2d85944426fe37873281236187784faef96dd143b5bd813a

Observation 3e40bd52-bbc0-4047-9ad6-0241a4be3eb1 · inbound

Hierarchically Gated Experts for Efficient Online Continual Learning cites this paper.

Hierarchically Gated Experts for Efficient Online Continual Learning Gradient Episodic Memory for Continual Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T05:46:51.526548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:46:51.526548Z digest=sha256:e9e95cdf644b908f8091d5c3e29f0390f19a58fdafd43712d01f65698eeb0387

Observation 6f5b57bb-f585-4547-9fc4-58bb1bc4b6cb · inbound

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks cites this paper.

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks Gradient Episodic Memory for Continual Learning

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-10T21:26:04.616274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:26:04.616274Z digest=sha256:1e4fe2af8df21aadd33ed1bb4faa9b2b337fc0e2483509e919262a69e2cee186

Observation 7e29fb89-877a-43d5-8d9d-976b06a28f74 · inbound

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation cites this paper.

Dynamic Continual Learning: Harnessing Parameter Uncertainty for Improved Network Adaptation Gradient Episodic Memory for Continual Learning

Reference 16

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unresolved
no resolver link, observed 2026-08-10T18:59:39.942030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:39.942030Z digest=sha256:baa555eec43653a541f790eb39ef6eb186f6388a128859ba8a4ac843c7695492

Observation df916f6f-0037-4458-a08a-082b67278474 · inbound

Class Incremental Learning for Algorithm Selection cites this paper.

Class Incremental Learning for Algorithm Selection Gradient Episodic Memory for Continual Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:51.422489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:51.422489Z digest=sha256:220ca56f3e8eca9fe3ec7fa4c31b5bd66ec96df75bb224176485d7e844f779ab

Observation ff55de73-1ca5-4ed5-a080-5a27f63f925b · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Gradient Episodic Memory for Continual Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:10:12.079821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:10:12.079821Z digest=sha256:00e51f0e50b29a363566bac15a2ca590c5d5ee4071d6a375e2002dca7b36f10e

Observation 35026be8-2282-48c9-a1e4-cd65fd6cd377 · inbound

SWE-Bench-CL: Continual Learning for Coding Agents cites this paper.

SWE-Bench-CL: Continual Learning for Coding Agents Gradient Episodic Memory for Continual Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:57.008044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:57.008044Z digest=sha256:3d2b2562b6750a91bcb0882371074e94eae26c4a59af604eff4c09493442fb49

Observation 49225418-5de0-4374-b422-a86e3b23c80b · inbound

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay cites this paper.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Gradient Episodic Memory for Continual Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:13.821237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:13.821237Z digest=sha256:9bb03d9c4b5a6893a34e9eb5802fbe48930a27c72defd686f8cf8d923376bcda

Observation c4374c4b-c987-44eb-ac72-a7c864889dc1 · inbound

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models cites this paper.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Gradient Episodic Memory for Continual Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T14:52:20.268370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:52:20.268370Z digest=sha256:b2f26ecf8840fb452ff72b69b3d9c7af3df662d165bfafaf20af15e9e1b811e2

Observation 6e982b56-c0ef-4b68-ad4d-70b5e63d4903 · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Gradient Episodic Memory for Continual Learning

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T23:04:17.769055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T23:02:19.128635Z digest=sha256:53b68073195f4171a8f56bb80c9000d08eada1e021b6878640211e801679e7aa

Observation 063de8c1-ed6b-482b-b33d-1f207c6cf2d4 · inbound

Fine-Tuning Regimes Define Distinct Continual Learning Problems cites this paper.

Fine-Tuning Regimes Define Distinct Continual Learning Problems Gradient Episodic Memory for Continual Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T18:36:06.754809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:36:06.754809Z digest=sha256:21f780e4c9ca4ad7a15b60c0b79d3f2f6fb2141b4cd398acbead3f3b4173b8af

Observation d9a23619-56fd-4dd6-9cb2-4ed15832fcfb · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Gradient Episodic Memory for Continual Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:49:49.879918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T07:49:13.043266Z digest=sha256:debc742b338b28c834eea483394f4e5ba29a400fceba5c9c09befec3510f50b8

Observation 86b668e3-65b2-4e09-8966-2f2684569b22 · inbound

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs cites this paper.

Polaris: Scaling Up Instruction-Guided Image Generation Towards Millions of Personalized Style Needs Gradient Episodic Memory for Continual Learning

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:46:18.703549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T15:07:03.439928Z digest=sha256:e66ed435d799c71ec44c6dbe5928625fe1d003c297ecdaafb22d43e08b92e15d

Observation 5096740f-c7c4-4a08-8ab1-4013397cfa40 · inbound

Continuous-time Optimal Stopping through Deep Reinforcement Learning cites this paper.

Continuous-time Optimal Stopping through Deep Reinforcement Learning Gradient Episodic Memory for Continual Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-27T02:40:25.353983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T02:35:00.841369Z digest=sha256:da96219a6fca752265bd140dd1df4ce5736ac46ba88c8cb4dd83a71608bfa781

Observation 5e5d39bb-85f9-41eb-bb32-14c8085f8617 · inbound

Episodic-to-Semantic Consolidation Without Identity Drift cites this paper.

Episodic-to-Semantic Consolidation Without Identity Drift Gradient Episodic Memory for Continual Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:58:21.166094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-03T13:50:00.764023Z digest=sha256:89dbc2ff5663742a688ed178ec448268ebdbf8d016567f692e745e67bf9085ee

Observation 542765ba-91c8-428e-a96c-5644e3497941 · inbound

Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models cites this paper.

Shared SFT Lessons Across Alignment, Model Organisms, and Toy Models Gradient Episodic Memory for Continual Learning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T00:38:42.229944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:38:42.229944Z digest=sha256:7797ed83a1e0db245c4e3bf5cad4527c53df2b3244c00e9d32a05d11c1e896aa

Observation 638ddf3a-f6b3-4d63-83cf-64e82b773808 · inbound

In-Context Collapse in Vision-Language Models and How to Mitigate it? cites this paper.

In-Context Collapse in Vision-Language Models and How to Mitigate it? Gradient Episodic Memory for Continual Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T15:05:19.313510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:05:19.313510Z digest=sha256:6782881d07f34adaf098c4d472bf5a6c01ccc813f4d8efa8fb7ca2487bee5586