Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:55:20.212198Z

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 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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.

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 2026-08-05T06:32:48.257954+00:00.