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Paper Citation Record · LEDGER

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2501.04268.

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

pith.paper-citation-record.v1
2501.04268 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:41:29.112544Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:35.363677Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fb90d2b-618e-4ae5-b0c5-8dd8d7483186 · outbound

This paper cites GPT-4 Technical Report.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation GPT-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-10T21:41:28.980655Z digest=sha256:8d56604b21c33565185636dcdce53effa16429eacfab96cc5ae7bb19a94032c0

Observation 3869a079-948c-4346-8e61-cd69fa38da74 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation LLaMA: Open and Efficient Foundation Language Models

Reference 2

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source=pdf_text observed=2026-08-10T21:41:28.985320Z digest=sha256:8b0ddea423d595373202b84bbf5b1d0fea2792270384b68bd394ce23e963ee1e

Observation db453c77-7842-449e-8aad-968d3c912f7a · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 3

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source=pdf_text observed=2026-08-10T21:41:28.989604Z digest=sha256:b185d5d00f7f5e340c44c4ef67be78082801b450dd3425efae5b3948a6a4fd44

Observation 47b9eb13-c563-4a63-956f-75232caed42c · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 4

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source=pdf_text observed=2026-08-10T21:41:28.993607Z digest=sha256:fa3b6e0116cc2bebb056692a864fe1c809201d896b274b87a9e9127571b2d0ba

Observation d661c040-ec41-46c1-93b0-40ce955272fb · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 5

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source=pdf_text observed=2026-08-10T21:41:28.998003Z digest=sha256:a738c95face8b56452da60f312e7affb2a903be9e511073c0d91671e12026755

Observation ed1f390e-9632-400f-bf15-fbc908bf2afb · outbound

This paper cites RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis

Reference 6

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source=pdf_text observed=2026-08-10T21:41:29.002367Z digest=sha256:00deb30315e08ee539fa8c5bfbd431501226f19aff841e86dedecae60d0497f0

Observation 68bf88ad-4625-4114-8f2c-f23a39440796 · outbound

This paper cites Affordances from human videos as a versatile representation for robotics,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Affordances from human videos as a versatile representation for robotics,

Reference 7

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source=pdf_text observed=2026-08-10T21:41:29.007105Z digest=sha256:d0cd03de0b76529278b6e3c927415099450c49220aedd6364161e6c917f5df0c

Observation f72d63e7-b15c-450a-9e38-ff8e05d4aaf3 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 8

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source=pdf_text observed=2026-08-10T21:41:29.010743Z digest=sha256:75555b49cb4a389a506f920cbfa6b86f293a75973a4a8e1e8e5e8916ac5f2b7c

Observation 292e346e-3465-47c8-89be-e1214bd629fe · outbound

This paper cites Perceiver-actor: A multi- task transformer for robotic manipulation,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Perceiver-actor: A multi- task transformer for robotic manipulation,

Reference 9

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source=pdf_text observed=2026-08-10T21:41:29.014589Z digest=sha256:132ceaa956db37d0a05273e33a50f0872e66a2cc6f4513b62568fd62bce27344

Observation 10064ce0-b93e-4e1c-82f3-e99e3d2e8a6a · outbound

This paper cites Procedures as a representation for data in a computer program for understanding natural language,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Procedures as a representation for data in a computer program for understanding natural language,

Reference 10

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raw_fallback, observed 2026-08-10T21:41:29.453109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.018775Z digest=sha256:d0e12a1617afb741ad6e814191ef3fb0d38a23d3ae01936df84aa50a479df9c5

Observation ce1b9580-8e74-4493-b982-fa48da29165f · outbound

This paper cites Attention is all you need,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Attention is all you need,

Reference 11

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source=pdf_text observed=2026-08-10T21:41:29.022495Z digest=sha256:5007a9ceeef7e808933285324238751313f3d8f87e21a166a79b9941d8bbfa2b

Observation 12f5dfcb-78e4-491c-a70e-382036a456c4 · outbound

This paper cites SAM-E: leveraging visual foundation model with sequence imitation for embodied manipulation,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation SAM-E: leveraging visual foundation model with sequence imitation for embodied manipulation,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.434657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.025796Z digest=sha256:67d6ff32f55da44a06f0a9c48778578128aceb64c3eb6bb9747a33577b5b9215

Observation 660aedeb-4eb8-470a-9b07-344a75dbed69 · outbound

This paper cites LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning

Reference 13

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source=pdf_text observed=2026-08-10T21:41:29.028549Z digest=sha256:a12f36f3795b721619ba31bc4aff59d6c90fbd1ce0b5b7dc6cd31dcbdb15aaf9

Observation 60177fda-ce6a-4e19-9507-8eb88406b64f · outbound

This paper cites Do as i can, not as i say: Grounding language in robotic affordances,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Do as i can, not as i say: Grounding language in robotic affordances,

Reference 14

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source=pdf_text observed=2026-08-10T21:41:29.031899Z digest=sha256:85d46cbb4e292ad2ff3399d82fff1faf1300f13aca76fc93f82c99be37f9597c

Observation 470bab7c-b039-4cd8-a351-7b4b98cca623 · outbound

This paper cites Palm-e: An embodied multimodal language model,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Palm-e: An embodied multimodal language model,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.417089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.034811Z digest=sha256:6cc58acd3e7c0e141716086805ba7c8ef96d2f81be8e595289657b28facfed66

Observation db498ecc-3bce-4a31-9ade-f57f1cd39200 · outbound

This paper cites Inner monologue: Embodied reasoning through planning with language models,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Inner monologue: Embodied reasoning through planning with language models,

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.406070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.038276Z digest=sha256:346647059fb9f31ad0eadba999b5d22b0ae8d30f6523302a38db9640e0019a16

Observation 0bc258fc-4a04-42e3-8027-ec4223a36a7a · outbound

This paper cites Progprompt: Generating situated robot task plans using large language models,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Progprompt: Generating situated robot task plans using large language models,

Reference 17

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source=pdf_text observed=2026-08-10T21:41:29.041799Z digest=sha256:4583ed84d2db0d0124fab87615481742a8720beac36b7f505ebb5db34a45dd02

Observation 6adce849-cb42-479e-b717-5f3ddc5e7aad · outbound

This paper cites Code as policies: Language model programs for em- bodied control,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Code as policies: Language model programs for em- bodied control,

Reference 18

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source=pdf_text observed=2026-08-10T21:41:29.045359Z digest=sha256:8d9029677689476d9126c9ccc0110ca7c4e2be5b9a1eeaa7335551cf76472fe0

Observation f68a8b5c-2e1c-4b8d-aeba-a6f229672c15 · outbound

This paper cites Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model

Reference 19

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source=pdf_text observed=2026-08-10T21:41:29.048861Z digest=sha256:32ccff95eff0b68899f4bbd29c255fb5520ebdfde75c1b897d1d6933b05e655c

Observation 5a8259fa-870c-48c6-b7a1-55bdea75b977 · outbound

This paper cites V oxposer: Composable 3d value maps for robotic manipulation with language models,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation V oxposer: Composable 3d value maps for robotic manipulation with language models,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.381669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.053200Z digest=sha256:31f399a89b6e8d53464270f9f8ababa119785810ac0523213a3449c63748bd09

Observation 5e7aa795-a971-4249-9c47-6a16304b606f · outbound

This paper cites A unified approach for motion and force control of robot manipulators: The operational space formulation,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation A unified approach for motion and force control of robot manipulators: The operational space formulation,

Reference 21

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source=pdf_text observed=2026-08-10T21:41:29.060589Z digest=sha256:5cca9239d5b2e8182a9e702ab8e4245bd64cf23fde827cdc2b5d4ee8b6a56308

Observation 7f366ea8-965c-4ec6-8af6-f14bc8428162 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Gemini: A Family of Highly Capable Multimodal Models

Reference 22

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source=pdf_text observed=2026-08-10T21:41:29.064366Z digest=sha256:72a4335cd3e2551b67cf05f86e233fb0fb19352bd6764e76aff1cace7b936bee

Observation 111a0ff9-f63e-459e-b718-2b5230286614 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 23

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source=pdf_text observed=2026-08-10T21:41:29.068019Z digest=sha256:869a43e768d42803d6103ababbb8a61f675d38cc107f93dbf9707dd5d596ca21

Observation 50d27ec6-ad19-47a2-84d4-f22845275ad0 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 24

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source=pdf_text observed=2026-08-10T21:41:29.072377Z digest=sha256:18aba692cbb4898d93dcf29416754b527909095516cdc2d5b93afa04dfde1941

Observation ae2ba194-cde6-4fdd-9d7c-4da4a51c3d0a · outbound

This paper cites Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Anygrasp: Robust and efficient grasp perception in spatial and temporal domains,

Reference 25

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source=pdf_text observed=2026-08-10T21:41:29.076249Z digest=sha256:d66856f639c03ace3ab183de66ec54265bce2ab0cd0b4f8302dc872ea4ce766c

Observation 180e5c0b-4ee9-469d-ab78-b51dec654545 · outbound

This paper cites Sigmoid loss for language image pre-training,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Sigmoid loss for language image pre-training,

Reference 26

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source=pdf_text observed=2026-08-10T21:41:29.081223Z digest=sha256:c1b4e4e179aa5cef61d61153f98551c93a95dd0bc6c54c4c6b880adc0fb53037

Observation 771933c7-dafa-41fa-88af-7d6ad9a83200 · outbound

This paper cites Qwen Technical Report.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Qwen Technical Report

Reference 27

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source=pdf_text observed=2026-08-10T21:41:29.084545Z digest=sha256:8c1af294018e578dafa2928bffa9936f0c6e9de08ea7a9d1df17785e2bef5c25

Observation 9579e9e4-e829-4182-a043-e8d9ccf98a58 · outbound

This paper cites Improved baselines with visual instruction tuning,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Improved baselines with visual instruction tuning,

Reference 28

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source=pdf_text observed=2026-08-10T21:41:29.088657Z digest=sha256:1082f74f9b1b153d55a42c2f72e4052ce83e9105cf08303f99521dadf4e47a15

Observation b7a4cc7a-395c-425e-9659-5b80a508e7e8 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 29

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source=pdf_text observed=2026-08-10T21:41:29.092175Z digest=sha256:716c83935bc4e31921d813e782dbea058681be851f53685c8a07c4b37d231f56

Observation 1de3cfa0-5196-436e-88dc-9a81ca17992f · outbound

This paper cites Hello gpt-4o,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Hello gpt-4o,

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.342956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.095920Z digest=sha256:220b17b26d58f426a99288d48f778fb0885be47a6df60be80e7a842f6a07ff7d

Observation 2ec0a5df-d036-4f09-9778-8878d320dc82 · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Rlbench: The robot learning benchmark & learning environment,

Reference 31

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source=pdf_text observed=2026-08-10T21:41:29.099256Z digest=sha256:1f16dc1b849bc9d79addf14e4b7376cd082c2dd87b8cb5038c52fdbbc1a76297

Observation 77cb5c18-dc1f-46c8-a4dd-9f513e975c2c · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation Libero: Benchmarking knowledge transfer for lifelong robot learning,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-10T21:41:29.324865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.102694Z digest=sha256:dbae042c3da40f5a52234f4bbfde71370dbe7e6da29a17cf3ee1f05592297c45

Observation 09c8ba23-f31d-4202-8cec-97d33df5802a · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 33

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source=pdf_text observed=2026-08-10T21:41:29.106545Z digest=sha256:0a13801e6f185c200398d0f9d7dc5cdc13693e21aa849cc8ed74c1882a4cde45

Observation 2b60002d-451a-4fc8-8c94-b988ec4e5314 · outbound

This paper cites V-rep: A versatile and scalable robot simulation framework,.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation V-rep: A versatile and scalable robot simulation framework,

Reference 34

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source=pdf_text observed=2026-08-10T21:41:29.109656Z digest=sha256:0ffd337f0e52b846c134f5810a3021011497aaf758030c723a31edc01bc00fb3

Observation 3a38a98b-3902-45d7-a273-a6dc5f20c29a · outbound

This paper cites PyRep: Bringing V-REP to Deep Robot Learning.

Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation PyRep: Bringing V-REP to Deep Robot Learning

Reference 35

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verified exact
local_arxiv, observed 2026-08-10T21:41:29.149865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T21:41:29.112544Z digest=sha256:ece9c011afe9d5f2ee2b9ced67bbe8707b4fbe7f245a1391c86511e17c856ea9

Pith citing papers

Observation f872bd4a-802a-454b-8444-8af47739562e · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Robotic Programmer: Video Instructed Policy Code Generation for Robotic Manipulation

Reference 273

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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