Pith. sign in

Paper Citation Record · LEDGER

BAMM: Bidirectional Autoregressive Motion Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.19435.

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

pith.paper-citation-record.v1
2403.19435 v3

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:18.952901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:08:22.356443Z

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 1d00c644-dcbe-4510-b632-ac34590ed4a0 · inbound

Absolute Coordinates Make Motion Generation Easy cites this paper.

Absolute Coordinates Make Motion Generation Easy BAMM: Bidirectional Autoregressive Motion Model

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T14:19:18.952901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:19:18.952901Z digest=sha256:d93cd892b6601e461f588fb4cde50c327c12dd10cc2b8000d5367ee51a03f6ed

Observation 41563245-1254-415d-9ae3-cdf7eb1d638f · inbound

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model cites this paper.

ANT: Adaptive Neural Temporal-Aware Text-to-Motion Model BAMM: Bidirectional Autoregressive Motion Model

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T11:27:47.211864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:27:47.211864Z digest=sha256:611df295d0b0f20ff35ab72bd6a3bba892802bf2a926cadd07556b6c62b856c5

Observation dc39ee27-461e-458e-8bc7-ba8f6378102b · inbound

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward cites this paper.

Multimodal Generative AI with Autoregressive LLMs for Human Motion Understanding and Generation: A Way Forward BAMM: Bidirectional Autoregressive Motion Model

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:06:21.702806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:06:21.702806Z digest=sha256:0a1130c2abaf02ffb54a2dad7755233939467a7b73d7324ba8e5210a084201cf

Observation b9cfda32-4033-450b-8565-eb3ffce6369e · inbound

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling cites this paper.

AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling BAMM: Bidirectional Autoregressive Motion Model

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T08:53:15.646775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T08:52:10.642943Z digest=sha256:7d5848882d3fa4cd8364147132c385262f9132323242ae6b737ca1d1e93ea44c

Observation b759b87d-5744-4446-9cab-1731f7d17277 · inbound

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision cites this paper.

VideoMDM: Towards 3D Human Motion Generation From 2D Supervision BAMM: Bidirectional Autoregressive Motion Model

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:08:22.357795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:10:42.987128Z digest=sha256:21099782fd670e851a0d9a598ed2fbe3b2f3b6014a4f419c2df624e4497fb61e

Observation 70b675c8-e857-43f1-aeb2-496fc509cdc0 · inbound

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation cites this paper.

MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation BAMM: Bidirectional Autoregressive Motion Model

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-03T12:14:41.863166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:14:41.863166Z digest=sha256:5d47fcfd35e516a3d3085178bc0d61e95804f793060191d0d7845df5fbbb714d