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Paper Citation Record · LEDGER

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.05905.

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

pith.paper-citation-record.v1
2310.05905 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:28:53.445527Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:19:53.549713Z

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 eee50047-99b7-490a-b966-958f1b8cc237 · inbound

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors cites this paper.

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T23:11:51.656505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:11:51.656505Z digest=sha256:ae3f4c0f0b775329d9799b34544ea3b42e0d9ccab66ffced3a2bef0e00d1c8cd

Observation 93fe08f0-e7bb-4869-b9eb-f37508278cea · inbound

Improving Vision-Language-Action Model with Online Reinforcement Learning cites this paper.

Improving Vision-Language-Action Model with Online Reinforcement Learning TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T11:39:56.215688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:39:56.215688Z digest=sha256:35f963ac803a9eb3b5bf6896dfaee627da216868a2623ed020ee1c7b11afdde4

Observation e93fac9f-ead8-4314-a21c-9bc8d6846927 · inbound

Few-Shot Vision-Language Action-Incremental Policy Learning cites this paper.

Few-Shot Vision-Language Action-Incremental Policy Learning TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:38.191031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:28:38.191031Z digest=sha256:db7f46eb626a25f22d46e767da9e74336f40ce6e3758a8847e67351ef6c2cd19

Observation 376625df-573b-40fc-b530-5f351812e794 · inbound

SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation cites this paper.

SPECI: Skill Prompts based Hierarchical Continual Imitation Learning for Robot Manipulation TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T11:28:53.445527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:28:53.445527Z digest=sha256:e178dd6813c82cde852be0dd69657eb24aa174cd72780df956c36ad3a34ff082

Observation 4ac2866b-b561-463e-9bf7-25e4235fce5d · inbound

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:48.578203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:48.578203Z digest=sha256:8783649595e15d28984e72c181ec8aa9cdd66ad744276728f9f5a136c8678b53

Observation 4adfbc67-45c4-49ad-975e-7219f300b6bd · inbound

Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.

Continually Evolving Skill Knowledge in Vision Language Action Model TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:04:09.227685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-17T06:02:31.638120Z digest=sha256:907a9fbe3f540c3e21f0ccefe45e2af2a94296f7571d374bfaa523b059fbe946

Observation e5d8a19b-aa6d-4916-b4eb-8b504b3e16c4 · inbound

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion cites this paper.

CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T15:54:14.481365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T15:53:44.767068Z digest=sha256:44c534884138cbe3edb8231d57ffa3d345863645903a6566436eec57ab108d63

Observation e0a4b505-b59b-4fe0-a4de-61bcfe9b1cb2 · inbound

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning cites this paper.

Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-21T14:10:13.273322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T14:07:10.387869Z digest=sha256:a9fc4809fddc1c5ccb6f2f8fa9295d0290085a3c0f959c90688bc7b77da695a8

Observation 9a3591db-b648-4a7f-ac82-8bd942349592 · inbound

Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning cites this paper.

Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:01:31.589524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T01:22:29.333350Z digest=sha256:c9ddb116a8e60438e597c0356c913bfe682568afc72d738e48f991a81ead90a6

Observation eda7bb71-ecfa-40f7-8af7-a2964496a5ae · inbound

Efficient Skill Grounding via Code Refactoring with Small Language Models cites this paper.

Efficient Skill Grounding via Code Refactoring with Small Language Models TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:07:24.122091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T19:55:20.212198Z digest=sha256:842c0bc718325e274f0ed00382127805bef7fea222f1bb666e33c090c5553d1f

Observation b146deac-d448-4363-96b2-279eab89708a · inbound

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays cites this paper.

World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:19:53.551521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T04:20:26.522615Z digest=sha256:818a0eb5f4f0d21b7000915b659f721ab181e5263b07811b3f3b61490c8b494b