Paper Citation Record · LEDGER

Instruction-Following Agents with Multimodal Transformer

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2210.13431.

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

pith.paper-citation-record.v1
2210.13431 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:30:09.419058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T12:08:06.354541Z

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 57594e4c-1e97-47a9-a86a-65c5cb1cc2f0 · inbound

Improving Factuality and Reasoning in Language Models through Multiagent Debate cites this paper.

Improving Factuality and Reasoning in Language Models through Multiagent Debate Instruction-Following Agents with Multimodal Transformer

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:01:45.265741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7721bcfd-588b-4e28-ab64-a22178242464 · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators Instruction-Following Agents with Multimodal Transformer

Reference 225

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T02:15:18.465879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 70766248-9119-4af3-8dcc-ee59437b0466 · inbound

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations cites this paper.

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Instruction-Following Agents with Multimodal Transformer

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:00:04.877049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95c2393c-dd4b-42f8-a8b0-f98d151fdfe4 · inbound

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback cites this paper.

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback Instruction-Following Agents with Multimodal Transformer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T16:30:09.419058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7b0c4a-9fda-4eed-b067-dd37fd15f117 · inbound

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches cites this paper.

Large language models for artificial general intelligence (AGI): A survey of foundational principles and approaches Instruction-Following Agents with Multimodal Transformer

Reference 290

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:13.187090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b34a80-4082-43ed-ab64-efe77bd8cc71 · inbound

LineRetriever: Planning-Aware Observation Reduction for Web Agents cites this paper.

LineRetriever: Planning-Aware Observation Reduction for Web Agents Instruction-Following Agents with Multimodal Transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:26:42.104834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7d500bc-9d52-480b-8d12-24496bc08421 · inbound

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge cites this paper.

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge Instruction-Following Agents with Multimodal Transformer

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:42:41.630112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45a36743-3833-4d01-99e6-f530c28cf5a7 · inbound

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning cites this paper.

Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement Learning Instruction-Following Agents with Multimodal Transformer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:51:56.746082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa58cc67-4f51-447a-a614-cf7506383ea3 · inbound

PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation cites this paper.

PhysMani: Physics-principled 3D World Model for Dynamic Object Manipulation Instruction-Following Agents with Multimodal Transformer

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T12:08:06.356001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d228c87-12fb-4519-9c43-e09736342e79 · inbound

Geometry-Aware Motion Latents for Learning Robust Manipulation Policies cites this paper.

Geometry-Aware Motion Latents for Learning Robust Manipulation Policies Instruction-Following Agents with Multimodal Transformer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-11T14:43:12.450611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.