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Paper Citation Record · LEDGER

MaIL: Improving Imitation Learning with Mamba

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.08234.

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

pith.paper-citation-record.v1
2406.08234 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:41:25.753139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:39:51.221654Z

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 5ce952e4-15ae-42aa-8765-77c79189329d · inbound

A Survey of Mamba cites this paper.

A Survey of Mamba MaIL: Improving Imitation Learning with Mamba

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:30.570279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T22:09:19.917854Z digest=sha256:d78acd5ddd22fbfc4fbab6717e2cd704470f94acf5eb0289d17d5ef342f9d1e2

Observation e8fd7b44-5dd6-4afc-80f2-02638a0fea6d · inbound

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds cites this paper.

OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds MaIL: Improving Imitation Learning with Mamba

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T11:41:25.753139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:41:25.753139Z digest=sha256:c13b74b45fda7d6b070a84e08bae42913b5ac9055d570565af035e3e8e725229

Observation 91ad4ed6-13db-478f-98c5-1517fae008ae · inbound

RoboSSM: Scalable In-context Imitation Learning via State-Space Models cites this paper.

RoboSSM: Scalable In-context Imitation Learning via State-Space Models MaIL: Improving Imitation Learning with Mamba

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-04T15:34:52.306528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:34:52.306528Z digest=sha256:33a3f5488fed1b2b83959edeb71bc32574046675ac3d4d3d899a4b4bcced0ddc

Observation cd94485f-227f-41d9-a136-d91f0dde99ac · inbound

DSSP: Diffusion State Space Policy with Full-History Encoding cites this paper.

DSSP: Diffusion State Space Policy with Full-History Encoding MaIL: Improving Imitation Learning with Mamba

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T10:21:24.424725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T10:17:44.804745Z digest=sha256:7548f597398173d3b75c6c25c0c2984c1c3e8ca9a118a06494326bcf02988fd1

Observation dfc29acc-568c-45eb-a23a-6d73ccdca4e6 · inbound

MUSE: Multimodal Uncertainty Quantification of State Estimation cites this paper.

MUSE: Multimodal Uncertainty Quantification of State Estimation MaIL: Improving Imitation Learning with Mamba

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T12:48:17.393364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T12:47:30.814709Z digest=sha256:9f2eb757e342b926f5b7a31427a6a1ff296dd01320b8abfc053e91f45c857ba2

Observation 2c9f0762-bbd9-4163-b088-7f57f65bd653 · inbound

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation cites this paper.

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation MaIL: Improving Imitation Learning with Mamba

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:39:51.223399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T04:59:53.521683Z digest=sha256:208f8fb017ac76c766151178dfeee8843f180723cc06a8d526b06c907f050e86

Observation 637eea81-c34a-4dc9-9488-1351f27ffad8 · inbound

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation cites this paper.

SSI-Policy: Learning Structured Scene Interfaces for Vision-Language Robotic Manipulation MaIL: Improving Imitation Learning with Mamba

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:04:35.847145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T10:02:48.981839Z digest=sha256:02aca09f951fff21ea6c666b3479d4c6fb0cb5d0faf3773124f6035c02c35dbb