Pith. sign in

Paper Citation Record · LEDGER

Gradient Episodic Memory for Continual Learning

As of 18 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 2026-08-18T06:34:40.430872+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
  • parse uncertain0
  • 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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-23T08:20:05.898025Z digest=sha256:c86576d4c4f0d0fa94e1f445cd3a0842cd1cda64db1acd95e6610df1fc191e71

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:e0247e9088d480ea2249b57bd21a7a59f1ea7ff234183657445a567b22d4f44e

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

Resolution
unresolved
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=sha256:4ece8d10d8392c2de19a1458265d4d4bd3359d97810d4ef64452092518667dbc

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=sha256:452bed91daffe6252cd2fc92900d4109171724b59dbcfcc520ae0fa450844c3a

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=sha256:8a8cee900acdf7f1312a24f612f7f94ec51bfdc6572a75d0746bf2d02ea98495

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

Resolution
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=sha256:3a683cbc21f455dd484176ff59a2bde9f8630a315303c09aa230ca7784926057

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=sha256:8d03885a00da2bbe6c6d69a7e4b2a2aa4642b76cc069f1c601cfdf48880d8a2a

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:a1e5dada3ee49a147cd68b0656801901f2a4add6164788bf15634f4875e5e31c

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:edde730528b8c055732dd3aa00351a7426c34eac1f3ba65537e58c87008e7a9d

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=sha256:3dbdf1e4efc92ee5e24fe0e87c78daba396f7bc81ace54abd5d17baa16fdb698

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=sha256:28293d200b80a82b8fb542cf494a08e369ee67477ef4357e1c315287c40ce65f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T23:02:19.128635Z digest=sha256:8fb7b97ee794c4575aa00b8c72171e21090c58aa7c84f5bb83a14aa6385234bf

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:e5fcf3fd1bfbc9c08914776532314c50564277ce6b4d45bc7f08de118fcbbabf

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-21T07:49:13.043266Z digest=sha256:21ef9f1b0cf826f2ae3097f995a057c79b4ae5176c14ab27d57cfd29985eeb7f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-28T15:07:03.439928Z digest=sha256:2e404fc4dff361f9d880afcbe682854f81a02762c709d32303999e9873363ac5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-27T02:35:00.841369Z digest=sha256:316cd0d5d3da9d0383f51dcdcd7d3f78705bf45033ad038edd57f6d7e73e44c5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-03T13:50:00.764023Z digest=sha256:14226f1f79fdc68e36f8760bb615d4ae4148827437b1ad03dc791a4a7af7e209

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:a880ebbea7a7f8c003502351c36b5bdf8941a53fcc507aa93b529230bf0ee1b0

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=sha256:58566e9e0396416bab7c5a7bd4dbddde98b91770877e4417f0c199ebf9499b81