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Paper Citation Record · LEDGER

Towards Lifelong Learning of Large Language Models: A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.06391.

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

pith.paper-citation-record.v1
2406.06391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:34:35.895492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.815800Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 654a021d-5c12-4daf-a844-ac2662f9db2d · inbound

Learning Model Successors cites this paper.

Learning Model Successors Towards Lifelong Learning of Large Language Models: A Survey

Reference 188

Resolution
unresolved
no resolver link, observed 2026-08-09T19:58:59.152735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:58:59.152735Z digest=sha256:91471db82e68542459bfd0cdf9cad62bc8094a0ea372a14305babf7d1cc32eac

Observation 7cc1441a-29b7-473c-8aad-9d882a14b0bd · inbound

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning cites this paper.

Omni-DNA: A Unified Genomic Foundation Model for Cross-Modal and Multi-Task Learning Towards Lifelong Learning of Large Language Models: A Survey

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T10:16:49.301632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:16:49.301632Z digest=sha256:e92ea5e90e349094653525dabe6c5b72cc55d9d6122903711c55538a7299e337

Observation dc81fd31-c990-490d-a9c7-a170eadb1789 · inbound

Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness cites this paper.

Meta-Cultural Competence: Climbing the Right Hill of Cultural Awareness Towards Lifelong Learning of Large Language Models: A Survey

Reference 155

Resolution
unresolved
no resolver link, observed 2026-08-08T18:05:24.819161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:05:24.819161Z digest=sha256:cec6564c99255183581c0ada4f1445bc087a07052d4e6cd2b6b720a36d79713b

Observation 6cc20011-0816-46eb-afc0-62f12cdd0170 · inbound

What Causes Knowledge Loss in Multilingual Language Models? cites this paper.

What Causes Knowledge Loss in Multilingual Language Models? Towards Lifelong Learning of Large Language Models: A Survey

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:34:35.895492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:34:35.895492Z digest=sha256:96a427d5b3625ab5f74ec6ca841141c92f78f94ba91ce6d9b23d4d7593601628

Observation 5ec07ddd-ef16-4d62-bfbb-a560f939f512 · inbound

Facilitating Video Story Interaction with Multi-Agent Collaborative System cites this paper.

Facilitating Video Story Interaction with Multi-Agent Collaborative System Towards Lifelong Learning of Large Language Models: A Survey

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T04:29:49.365530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:29:49.365530Z digest=sha256:4d12c2a8219b3fbd81810914ea4881b7963a6528029884561ff7571cbb00a87c

Observation 3be35847-351a-431d-9876-398b4936daca · inbound

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA cites this paper.

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA Towards Lifelong Learning of Large Language Models: A Survey

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:09.489789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:09.489789Z digest=sha256:fb99bb1edaf2ed7bec238e0e6ce6df777105d9114c14e28beeab74065856bec8

Observation 2f82a787-d165-4059-8d54-e01a1edce359 · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs Towards Lifelong Learning of Large Language Models: A Survey

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:35:06.259060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:35:06.259060Z digest=sha256:37368e5a057fc5b798ee994b6b9b79ace3f050427f95ea483cc8f9d21a637735

Observation bc707462-8bba-42d4-b63e-912ab0c3dfc9 · inbound

Infinite Video Understanding cites this paper.

Infinite Video Understanding Towards Lifelong Learning of Large Language Models: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:14.841489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:14.841489Z digest=sha256:d393800d03e03b789cf9f8835e09479d20dfadc163ad5f092a027c79a76143e7

Observation f89b7c30-992f-43bc-8405-a7577c775716 · inbound

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines cites this paper.

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines Towards Lifelong Learning of Large Language Models: A Survey

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:29:15.818872Z

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=2026-06-26T21:12:05.209407Z digest=sha256:82ac5c112e123b4667dddd233dabbc7c46cabe700ec5f3a264f275884b2d63d7