Paper Citation Record · LEDGER

TinySubNets: An efficient and low capacity continual learning strategy

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.10869.

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

pith.paper-citation-record.v1
2412.10869 v3

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:37:46.300414Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

verified exact0
verified fuzzy2
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation abbb3c65-808b-48d3-a231-fb5d0a6fea4b · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.919071Z

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.

Observation e6a025d3-a708-4e81-b1ac-be94659b79e8 · outbound

This paper cites M.; New, A.; Aguilar-Simon, M.; Al-Halah, Z.; Arnold, S.

TinySubNets: An efficient and low capacity continual learning strategy M.; New, A.; Aguilar-Simon, M.; Al-Halah, Z.; Arnold, S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:37:46.903907Z

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.

Observation b9280d9f-254a-4f20-9ae1-09db1a740d02 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.887877Z

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.

Observation 93008816-c5f0-4c32-8fe6-503219875fb8 · outbound

This paper cites Efficient Lifelong Learning with A-GEM.

TinySubNets: An efficient and low capacity continual learning strategy Efficient Lifelong Learning with A-GEM

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.158300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3333043f-a182-416a-8de4-6fcbd4cbc628 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.872209Z

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.

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

This paper cites Gradient Episodic Memory for Continual Learning.

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.

Observation a002b18e-1324-4314-af2c-5e911440b126 · outbound

This paper cites Don't forget, there is more than forgetting: new metrics for Continual Learning.

TinySubNets: An efficient and low capacity continual learning strategy Don't forget, there is more than forgetting: new metrics for Continual Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.174247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed11141-187f-424e-a0f3-0b571e266053 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.180164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70dcc654-fe32-4feb-9d1f-8a6af744b9df · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.847098Z

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.

Observation 57e6593a-2fef-4b67-bae7-92155e9fc66c · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.831458Z

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.

Observation 0891bf91-74fd-46b2-85e5-6b86c54e4f0a · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.816356Z

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.

Observation 70165de6-90bf-4c4e-820c-fbb039ce34b0 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.800814Z

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.

Observation 027aa000-6429-457b-8b0c-ef15b616f21f · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

TinySubNets: An efficient and low capacity continual learning strategy Overcoming catastrophic forgetting in neural networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.203702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4619c08f-1553-441d-a526-1c8d9ce43ff4 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.208795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad12c888-6a1d-4958-93db-df6316fa2e3a · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.775774Z

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.

Observation 3e1b6ad0-ce68-4109-9bf8-9096e3e45c31 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.760472Z

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.

Observation 442ee878-7bf2-459f-be74-0138e3831ac0 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.222609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b536f775-6cdc-4e57-9f01-0f78a9ad14eb · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.735142Z

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.

Observation 48180c56-59c9-4585-8ee2-3ee7227806ab · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.718793Z

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.

Observation de40dade-ded7-428f-8bbc-c943fd3ae02b · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.701418Z

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.

Observation 15f8c940-2e48-4e09-9476-816cf9de89be · outbound

This paper cites PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning.

TinySubNets: An efficient and low capacity continual learning strategy PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.240791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d479f2c9-0391-4214-9c84-310c93fb5695 · outbound

This paper cites D.; Gong, D.; Parvaneh, A.; Abbasnejad, E.; and van den Hengel, A.

TinySubNets: An efficient and low capacity continual learning strategy D.; Gong, D.; Parvaneh, A.; Abbasnejad, E.; and van den Hengel, A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.245831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e70867-93ef-40f2-a55f-dc7bcd1912d5 · outbound

This paper cites I.; Kemker, R.; Part, J.

TinySubNets: An efficient and low capacity continual learning strategy I.; Kemker, R.; Part, J

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.250484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92400ed0-3c62-4d01-877e-8c15520eb4dd · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.599251Z

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.

Observation 5514fb02-9337-4d22-9f52-de23147f1c99 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.528105Z

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.

Observation b3411c1f-b2b9-4c1b-a0e4-14a917134e32 · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.265356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 355b0a4d-262a-44cd-86f0-5deeb5cc69ec · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.501460Z

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.

Observation 767174b7-bbe0-4007-9b9f-594f84a942ca · outbound

This paper cites an unresolved cited work.

TinySubNets: An efficient and low capacity continual learning strategy Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:37:46.486142Z

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.

Observation 7e3341ec-1fc5-42a4-a38f-ea2fc2033fae · outbound

This paper cites A.; and Etzioni, O.

TinySubNets: An efficient and low capacity continual learning strategy A.; and Etzioni, O

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.281041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef2b889a-8d27-4863-879e-5cc029079e2e · outbound

This paper cites Supermasks in Superposition.

TinySubNets: An efficient and low capacity continual learning strategy Supermasks in Superposition

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.286222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f363da-25e4-430f-b58d-69829cb834dc · outbound

This paper cites Zhang, J.

TinySubNets: An efficient and low capacity continual learning strategy Zhang, J

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:37:46.460430Z

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.

Observation 4b895c9f-b720-425c-a938-a34e399bb929 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

TinySubNets: An efficient and low capacity continual learning strategy Continual Learning Through Synaptic Intelligence

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.295621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28a23e0d-dc3e-4215-b894-38549e2a2cc7 · outbound

This paper cites Class-Incremental Learning: A Survey.

TinySubNets: An efficient and low capacity continual learning strategy Class-Incremental Learning: A Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:37:46.300414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.