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Paper Citation Record · LEDGER

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization

As of 16 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.23702.

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

pith.paper-citation-record.v1
2607.23702 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T15:27:16.869983Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

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Outbound references

Observation 60debc18-fe51-47ae-9d62-f8051c20fc5e · outbound

This paper cites RT-Cache: Training-Free Retrieval for Real-Time Manipulation.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization RT-Cache: Training-Free Retrieval for Real-Time Manipulation

Reference 1

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source=pdf_text observed=2026-07-30T15:27:16.528128Z digest=sha256:df54ced8bf9fc41206a03ed67904fa6ecb4979f1264e0f97ab4897a935cc27f6

Observation 97a527dd-ee27-4300-95ef-ec5541a67cd7 · outbound

This paper cites Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs

Reference 2

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source=pdf_text observed=2026-07-30T15:27:16.535962Z digest=sha256:952610b2921528f1e48b638198bcbf556581a02186aec84961012ca309e4e2af

Observation c8e485a8-85bf-44a9-9e48-147b466a0956 · outbound

This paper cites AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning

Reference 3

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source=pdf_text observed=2026-07-30T15:27:16.547410Z digest=sha256:c86974b4a8c2deeb8062a8c98ec1e9c60fcb58f02627337b22f185765b24871d

Observation a08336ca-9878-4bdb-a9e4-57be37f8e2f6 · outbound

This paper cites AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

Reference 4

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source=pdf_text observed=2026-07-30T15:27:16.555447Z digest=sha256:fa2ad9548768930daaec6c344cd96ca72aa92358e547da86f648f85df18fc81b

Observation ef461fe3-d44f-4b05-889e-e4f13dbc862c · outbound

This paper cites Map-vla: Memory-augmented prompting for vision-language-action model in robotic manipulation,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Map-vla: Memory-augmented prompting for vision-language-action model in robotic manipulation,

Reference 5

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source=pdf_text observed=2026-07-30T15:27:16.569667Z digest=sha256:d5e4656095920b75ea925431be211529443083935fc3ac52da1d7a418ae2d2c5

Observation eae41c6c-e566-4aa8-9083-dab419e62c1e · outbound

This paper cites Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting

Reference 6

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source=pdf_text observed=2026-07-30T15:27:16.574618Z digest=sha256:d26f50595a22e95016cc8ca0ccc613debad6bdc2b35619124faaf05a0b1f7638

Observation a2087ec0-2a4c-42cb-affb-1d4e905481fa · outbound

This paper cites Memer: Scaling up memory for robot control via experience retrieval,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Memer: Scaling up memory for robot control via experience retrieval,

Reference 7

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source=pdf_text observed=2026-07-30T15:27:16.582008Z digest=sha256:c0abc27eda395dc841462b3be5c392d45bdfa381fbfd4be18112da4297bf9bb9

Observation c818c55f-3e61-457b-b08b-92ff4aa200fc · outbound

This paper cites Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Online Object Model Reconstruction and Reuse for Lifelong Improvement of Robot Manipulation

Reference 8

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source=pdf_text observed=2026-07-30T15:27:16.587587Z digest=sha256:cf0769e6cdbd45e76cf887389f834285fd60260e876c021e2e89df076a86b3ca

Observation b8796252-2af4-4aa9-bf86-d26d2c5de7b2 · outbound

This paper cites Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding

Reference 9

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source=pdf_text observed=2026-07-30T15:27:16.597847Z digest=sha256:04a2ad8ce6a7c3d4cd287928fb5afc9a6acb8c8ee5cdced25d2ea3a8230de741

Observation 7dfb9f6d-177a-477b-bb52-84cf068d20df · outbound

This paper cites VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

Reference 10

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source=pdf_text observed=2026-07-30T15:27:16.604972Z digest=sha256:7a3a1acf6f1722b82aa1149a950a0c39edb13fdcd456695123664491352ea1b8

Observation bc474ff9-164a-4d30-aa7f-67811fc33fb8 · outbound

This paper cites Beyond short-horizon: Vq-memory for robust long- horizon manipulation in non-markovian simulation benchmarks,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Beyond short-horizon: Vq-memory for robust long- horizon manipulation in non-markovian simulation benchmarks,

Reference 11

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source=pdf_text observed=2026-07-30T15:27:16.613261Z digest=sha256:865d4e90a7c95ee239205a7634094493c792ae86389b58150359f982642513f1

Observation f48055be-372f-445d-b4c2-2722dead7344 · outbound

This paper cites STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning

Reference 12

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source=pdf_text observed=2026-07-30T15:27:16.620705Z digest=sha256:2597c63bac4a1a0149dbcadb3592d1fe135b7a53a118ce6eb719a543521def80

Observation d2463ca1-8692-4acc-95f8-94b4f4f42514 · outbound

This paper cites Learning and Retrieval from Prior Data for Skill-based Imitation Learning.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Reference 13

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source=pdf_text observed=2026-07-30T15:27:16.628939Z digest=sha256:54326eafcd6285818a13a0ab851ab7bcc07a4fe46d13bd702a033510f8c386d6

Observation 2a863e97-9df3-43cb-abb7-df2dad263c7d · outbound

This paper cites Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics

Reference 14

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source=pdf_text observed=2026-07-30T15:27:16.634787Z digest=sha256:580e6655cbc8c7002b4aa43c154ab2b477161096e071f14bd38e95c0bf6ec256

Observation 003a2846-797b-4833-9fb3-6f0a28fe6f08 · outbound

This paper cites In-Context Imitation Learning via Next-Token Prediction.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization In-Context Imitation Learning via Next-Token Prediction

Reference 15

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source=pdf_text observed=2026-07-30T15:27:16.640989Z digest=sha256:353929ae2c58fb6d010dc0b93b51ec6c6f2a33f80088397d05911d6fa506bb89

Observation 3039ad2f-5de8-4112-bbd9-3bf61879f57a · outbound

This paper cites Instant Policy: In-Context Imitation Learning via Graph Diffusion.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Instant Policy: In-Context Imitation Learning via Graph Diffusion

Reference 16

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source=pdf_text observed=2026-07-30T15:27:16.652920Z digest=sha256:c0c719110b40bcac8a5c203e74ba71567f017d7b7eb399e4ca16c838b95e5b86

Observation 33c531c6-4639-4fba-bc55-da23058cad2e · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 17

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source=pdf_text observed=2026-07-30T15:27:16.663063Z digest=sha256:b491ef9d5e6488ac2658b385f1f76edfe0e0b37483fb3697672379aae7d66004

Observation 50742533-34c6-4308-97d1-ec586a451e2e · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization ExpeL: LLM Agents Are Experiential Learners

Reference 18

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source=pdf_text observed=2026-07-30T15:27:16.670293Z digest=sha256:a702a738aaa1706949effd223ca03e1de2cd3a7c32199d463a0d39a984d3e107

Observation b408618d-c012-4c76-ae1c-11f4c44abeb6 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Generative Agents: Interactive Simulacra of Human Behavior

Reference 19

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source=pdf_text observed=2026-07-30T15:27:16.676609Z digest=sha256:6be56f09d2dfbac7b4bc250ff899523bffd674c539387b9746e56450dd7ac130

Observation 3bcf18b1-55d9-456f-8548-24f8ee963a52 · outbound

This paper cites Experiential reflec- tive learning for self-improving llm agents,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Experiential reflec- tive learning for self-improving llm agents,

Reference 20

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source=pdf_text observed=2026-07-30T15:27:16.685393Z digest=sha256:b0be52cf6d3da7c333997707a69766bbcb119bff80953641d962148a8583d291

Observation cf195554-bcd4-4a9c-a888-e64612a2d908 · outbound

This paper cites Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents

Reference 21

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source=pdf_text observed=2026-07-30T15:27:16.699822Z digest=sha256:57f902a71c1c3946820eb7f8ae5f669442447670be1af704a51194c0f1d34389

Observation ad51d543-cb7b-4f4d-b96a-9c793f269662 · outbound

This paper cites Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections

Reference 22

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source=pdf_text observed=2026-07-30T15:27:16.712272Z digest=sha256:4f6583c4081ccb594616639a4a434c5d13bc52b2ca529798a70490cf7e56647a

Observation 65891a07-22c4-4c18-a296-f5f585445bd1 · outbound

This paper cites Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models

Reference 23

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source=pdf_text observed=2026-07-30T15:27:16.727455Z digest=sha256:d8cb8d5056098640988ab58fe9394a0ff92e7ff94ba7dce4dfc75ca4ee54f1d8

Observation 5baeeff0-e11b-4ecc-9d3b-ded02f2271be · outbound

This paper cites Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models

Reference 24

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source=pdf_text observed=2026-07-30T15:27:16.736013Z digest=sha256:55d9201bb2d2103a5120cb478001950ac7c824d3301b398265673a2e5fce8c1b

Observation b901174f-e64f-41f8-9e79-96eb8712af20 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 25

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source=pdf_text observed=2026-07-30T15:27:16.745048Z digest=sha256:3abcc7933710e09ee456e53f003018e21ef8ef3faaae3f7ec3afa19e3ac1ccc7

Observation 233af07c-050f-4986-86b5-b046173aa463 · outbound

This paper cites REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction

Reference 26

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source=pdf_text observed=2026-07-30T15:27:16.751493Z digest=sha256:c2a8e8ed8a88c41cf63ca9483063d03d9ec84d5e6ca2674097ab38ab3f23a333

Observation ce1da489-6e3a-440a-9e2c-abea2a18104d · outbound

This paper cites MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation

Reference 27

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source=pdf_text observed=2026-07-30T15:27:16.759580Z digest=sha256:4075b6050af1225dfa3114198934e0f7745f78dc76639625cb09158ccb0f7b92

Observation 7f47db78-409e-4571-b29e-d2a191c19ad3 · outbound

This paper cites EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies

Reference 28

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source=pdf_text observed=2026-07-30T15:27:16.779291Z digest=sha256:2378f44952cc57652e798021765b57d73062597a3c3a5596ff769cb3252da67b

Observation 031d20b2-0085-4233-b1a2-5260c5271d8a · outbound

This paper cites Mem: Multi-scale embodied memory for vision language action models,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Mem: Multi-scale embodied memory for vision language action models,

Reference 29

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source=pdf_text observed=2026-07-30T15:27:16.789129Z digest=sha256:66d8132de96c9acbf3999ab19d42ac26b592341803e92fbbd7415052bbaa3e46

Observation 1c29fbd1-c399-4d2d-821b-86aa976c9bdc · outbound

This paper cites RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

Reference 30

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source=pdf_text observed=2026-07-30T15:27:16.804741Z digest=sha256:74a755afcf862a4d57a753495406320c28cd300892ab7da117eaf690196cd0d7

Observation 6b74c874-491d-4805-93b7-6d6604e54b54 · outbound

This paper cites Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning

Reference 31

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source=pdf_text observed=2026-07-30T15:27:16.820824Z digest=sha256:9e9118fff5b2278822ef1dab638f503b5888e1c702c34c162a33964b4a71570b

Observation e894de6f-3c13-4eaa-a8da-e6563e021ba6 · outbound

This paper cites RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark

Reference 32

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source=pdf_text observed=2026-07-30T15:27:16.826555Z digest=sha256:8f8842f3f641283512d8ea5c5f54ddfe758f9ca17d7a250235b760d27f5502b0

Observation 3884da90-0450-426e-80e9-847e8deb4462 · outbound

This paper cites Meta-memory for large language models,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Meta-memory for large language models,

Reference 33

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source=pdf_text observed=2026-07-30T15:27:16.833639Z digest=sha256:d6ad5d870f811150b2449426d3ad082ceff74d2ecf63c0484ac2b07ee93c9a09

Observation 7c94d588-2212-45f3-b822-e293a5facd77 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 34

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source=pdf_text observed=2026-07-30T15:27:16.843302Z digest=sha256:c8cf1b5e40f0dfa36b3d7b5257f7852a7ecedc1089cd61ae7522b87ddef1935d

Observation b8a65170-295d-430b-92ef-0b1492253cd5 · outbound

This paper cites M3e: Moka massive mixed embedding model,.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization M3e: Moka massive mixed embedding model,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.853266Z digest=sha256:eacea829385b5d22d3ec5c697902ab61cfd96036f0b0d3aa449fecbace2a1f18

Observation 4ac59985-d49d-4684-beca-c75e53620a84 · outbound

This paper cites LA4VLA: Learning to Act without Seeing via Language-Action Pretraining.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization LA4VLA: Learning to Act without Seeing via Language-Action Pretraining

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-30T15:27:16.859104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.859104Z digest=sha256:b47a9bf97b9e86b9f4d8b2c6dd5acc0a1bcd47df6328487a0a9bcc30ea4a20f4

Observation 3514071e-4f04-45d1-ad58-0d5d51e780a7 · outbound

This paper cites Chameleon: Control-Indexed Prospective Memory for Visuomotor Manipulation.

Try Once, Then Optimal: De-Redundified Procedure Memory for Cross-Episode Exploration Amortization Chameleon: Control-Indexed Prospective Memory for Visuomotor Manipulation

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-30T15:27:16.869983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:27:16.869983Z digest=sha256:45da032a1f7baeb82450c4d79853a47d5c550f6161e11324d6d89163de792cdf

Pith citing papers

No inbound Pith citation observations are available.