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Paper Citation Record · LEDGER

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.19562.

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

pith.paper-citation-record.v1
2412.19562 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:18:20.427813Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T21:21:30.990215Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:23:58.793825Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 194cb1bf-ec7f-41ed-8065-512cafe949fe · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-11T00:18:20.203339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.203339Z digest=sha256:8a6e7671a95b381dd8caea885bf1d63631a5d3a2c27153034976e3a51448e928

Observation 36ca49f5-09f1-4816-8b9b-5049f642192e · outbound

This paper cites write newline.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following write newline

Reference 2

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no resolver link, observed 2026-08-11T00:18:20.209446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.209446Z digest=sha256:07322598ff1c962c14f30341c54afe6208b0cf67d814b1dfb50ee3638c2780f0

Observation 9753a14d-f30b-4905-a948-8ce04616576a · outbound

This paper cites Do As I Can, Not As I Say: Grounding Language in Robotic Affordances.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Reference 3

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no resolver link, observed 2026-08-11T00:18:20.214434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.214434Z digest=sha256:8e0d338cfd10e6233c905ead147976448c92acb298346dd1c53487da506bc468

Observation a0211ebd-25ce-4ea1-bf8e-6799d53afc59 · outbound

This paper cites Hindsight Experience Replay.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Hindsight Experience Replay

Reference 4

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no resolver link, observed 2026-08-11T00:18:20.219803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.219803Z digest=sha256:59c5f618228cf08ae5f0ac5fb92f7dea388c0694aa6753914df160a924edb006

Observation e0fbdcd9-1222-4ab8-a29c-29a5934cc53d · outbound

This paper cites Multi-Level Compositional Reasoning for Interactive Instruction Following.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Multi-Level Compositional Reasoning for Interactive Instruction Following

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:18:21.206735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.224881Z digest=sha256:bc78cc7425a6e048eb287f15bb98f27aef097ae93df3aec152b45ac4f7e73082

Observation cf4480da-3913-4cd8-a5cc-678dd908ed8c · outbound

This paper cites , Paxton, C.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following , Paxton, C

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:18:21.329652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.230022Z digest=sha256:12bfda444577068fc9ffabeb0d054a15d8da18835bd64a08435e828c2adb1521

Observation 0723f8e9-6856-4c93-a838-4a8437258003 · outbound

This paper cites Language Models are Few-Shot Learners.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Language Models are Few-Shot Learners

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.234800Z digest=sha256:0e2623d7a1fdcd026b1611c695b38d479270c5fbd79441d028465e3645579194

Observation 36f6b988-841f-4166-a653-9fc78401f3de · outbound

This paper cites an unresolved cited work.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-11T00:18:21.313196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.239897Z digest=sha256:9e54d29fdad6a879fa40d133777d0372ac458ba2ea92b95810365466184340f9

Observation ecf0fd16-f61e-4f88-b71e-b968dc717523 · outbound

This paper cites Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 9

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.245017Z digest=sha256:1005b9ca485d48947bd3371fb6687ba8ce26f9d4cfa3507ce67ed6c3e9470bc4

Observation 09bba2da-0788-479c-982c-8dea89bfedce · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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source=arxiv_source observed=2026-08-11T00:18:20.250319Z digest=sha256:9c125966c40c49a15f236ae0d6e3f621fc73f9242c0afbb7401a2a9af312ffa5

Observation 59e06256-1301-4f47-ba71-e07c2b8ffa6f · outbound

This paper cites A Survey on In-context Learning.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following A Survey on In-context Learning

Reference 11

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source=arxiv_source observed=2026-08-11T00:18:20.255156Z digest=sha256:f4b7bdc3ebee3ea9c55bf09e3b0c6217d3925c083b8e6cbcbaf9be6dd8b27465

Observation a336cc56-5004-46b3-a6a0-0567b1267131 · outbound

This paper cites Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement

Reference 12

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no resolver link, observed 2026-08-11T00:18:20.260798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.260798Z digest=sha256:9f1e880bec06e28c2eec28291953372fa9cc5c1b0bd554b198dcd676aa641667

Observation 9b3a4c0b-0565-447b-b626-fdf142fcf90a · outbound

This paper cites Generalized Decision Transformer for Offline Hindsight Information Matching.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Generalized Decision Transformer for Offline Hindsight Information Matching

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.266123Z digest=sha256:fd2d2326e0d2468186032d8e05b4e15f05ac846d73b4c1929aa3ab9b62b72a3a

Observation 4db30e35-46e4-42e7-93ed-be61638f6b07 · outbound

This paper cites Learning to Reach Goals via Iterated Supervised Learning.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Learning to Reach Goals via Iterated Supervised Learning

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.271493Z digest=sha256:d9c2bbab7de3e9bf74b53218e9e4c6ab11d94f92966f2a05735e6adb5639edcc

Observation a05306a8-3fc1-4123-8d59-418b3ca4701d · outbound

This paper cites Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment

Reference 15

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verified exact
local_arxiv, observed 2026-08-11T00:18:21.068881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.277034Z digest=sha256:c47c4c03d6e07dda4ed59fd0ca20475857161a1605cdd936afe32ce261d624f4

Observation 3ac1065c-580b-4971-b349-89499b3a13c7 · outbound

This paper cites Provably Efficient Maximum Entropy Exploration.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Provably Efficient Maximum Entropy Exploration

Reference 16

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source=arxiv_source observed=2026-08-11T00:18:20.282303Z digest=sha256:ea3aede8110301fea06234d578bfaa7b43fffccabb78f8a5a5538a449911eb35

Observation dec253ea-1624-46a8-9837-26928ebf0d71 · outbound

This paper cites Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents

Reference 17

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no resolver link, observed 2026-08-11T00:18:20.287148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.287148Z digest=sha256:67237d02a58aeb9f8d01cefaaadc3e45a95111e7ccaf9a10304286f2e789107f

Observation 1cb4aa35-5e12-4cbe-b7a3-abf4f7827bec · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following RMA: Rapid Motor Adaptation for Legged Robots

Reference 18

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source=arxiv_source observed=2026-08-11T00:18:20.292417Z digest=sha256:bda702aee174c7221719ffa024bf708e4fe9318be94dafd7a8e24d8ca8287618

Observation 0ca7d0aa-d786-4fec-a8f3-9814753d4c25 · outbound

This paper cites Learning in POMDPs is Sample-Efficient with Hindsight Observability.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Learning in POMDPs is Sample-Efficient with Hindsight Observability

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:18:20.994197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.297299Z digest=sha256:2f0a545069e16b2f746db1c2289b57e674918d7082bed1916b3a5f8d7e893758

Observation d0441447-70e1-400e-8e26-62c40c9798f1 · outbound

This paper cites Efficient Exploration via State Marginal Matching.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Efficient Exploration via State Marginal Matching

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.302533Z digest=sha256:703635bdf48f7449c46173b14ffc9bb7fcf6ec2d5d0c546f22e190cb7a7a3e63

Observation dc807b6c-5c0f-497c-8925-3a7de8b3160f · outbound

This paper cites Generalized Hindsight for Reinforcement Learning.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Generalized Hindsight for Reinforcement Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:18:20.953955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.307653Z digest=sha256:f5b2a49454f15e7713993f7a3877ea1757793b047a5b18c8dc915a9af913401d

Observation 34b7a752-e2c9-4c39-b524-391c41090738 · outbound

This paper cites Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

Reference 22

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source=arxiv_source observed=2026-08-11T00:18:20.312426Z digest=sha256:02f61faab2df7cb41c7c9479dde59ae852a846a7de08fad91f8e1520f5bca95b

Observation 2a021bac-44dc-4990-be84-8199b0e3b602 · outbound

This paper cites , Chaplot, D.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following , Chaplot, D

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T00:18:21.296870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.317555Z digest=sha256:9baf7735ef86b30a92f23ad0a98d765b08eac2927f47d32ab570a8f28a6a0d50

Observation f724a01b-fa02-486a-b7b2-e45ca9e6a48f · outbound

This paper cites GPT-4 Technical Report.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following GPT-4 Technical Report

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.322586Z digest=sha256:fb9507826d4544e0ca494e6cef14c5bef96c68fe82df2a6dfdbd4a81f78e5b35

Observation ae7cfb0f-2968-4ba8-922e-10b9691941c5 · outbound

This paper cites Learning Agile Robotic Locomotion Skills by Imitating Animals.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Learning Agile Robotic Locomotion Skills by Imitating Animals

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.327643Z digest=sha256:940b633016352423baf54705b27b8b2ecd46803d0e6b80c0ca0925ef6c3e08b4

Observation 182a0b31-ab04-4465-b71a-ef1ab8722ee5 · outbound

This paper cites Temporal Difference Models: Model-Free Deep RL for Model-Based Control.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Temporal Difference Models: Model-Free Deep RL for Model-Based Control

Reference 26

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source=arxiv_source observed=2026-08-11T00:18:20.333124Z digest=sha256:410a17966033ae930aee0b0a491dd982877d48184e98a7674ecb92ed45a2f906

Observation 4fda2506-b908-433f-9716-160ac6a397a3 · outbound

This paper cites Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following

Reference 27

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source=arxiv_source observed=2026-08-11T00:18:20.338640Z digest=sha256:f5222f3b2e6d02c3998fd0e8c7d2879f78edb775048fe22451d4f1e9afa06567

Observation f377035d-fecf-4e31-9775-fa81d16b2671 · outbound

This paper cites , Thomason, J.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following , Thomason, J

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.343770Z digest=sha256:acd5bf178094809f79d99ed7eac670e66fe6376e8f9f5ec8977b413f2fe11b33

Observation 2064aa7e-404b-45d5-8fd7-077e4e8639c0 · outbound

This paper cites Generalized Planning in PDDL Domains with Pretrained Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Generalized Planning in PDDL Domains with Pretrained Large Language Models

Reference 29

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source=arxiv_source observed=2026-08-11T00:18:20.348563Z digest=sha256:bfeee3a1c8db6a3a7714f12c3da7e6a40dbe607ac49704f46d270f7f76e3815b

Observation 692a4bb6-7960-4e32-8829-5a6281bb0873 · outbound

This paper cites LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models

Reference 30

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source=arxiv_source observed=2026-08-11T00:18:20.353598Z digest=sha256:83228b72d33e29eca4789e5fe84cc4bd6b8c97693e326a11e893e24b982770d6

Observation 9da8eb82-ebd1-4f2f-af22-0d7a810806a9 · outbound

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

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following LLaMA: Open and Efficient Foundation Language Models

Reference 31

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source=arxiv_source observed=2026-08-11T00:18:20.359268Z digest=sha256:13c29e28dc06d82706ac1508b5def8c9a878e417d61c43bf9681a0707a835a90

Observation 6c8f4ef0-3463-4a30-a241-2838f5b42972 · outbound

This paper cites Attention Is All You Need.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Attention Is All You Need

Reference 32

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source=arxiv_source observed=2026-08-11T00:18:20.364767Z digest=sha256:313b228072db6b6dae5d2728b9495fe3bc98bfb77a87e818f74631e047e2289d

Observation fe8ddb58-8dc6-4ad9-b457-a2d952d144da · outbound

This paper cites Emergent Abilities of Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Emergent Abilities of Large Language Models

Reference 33

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source=arxiv_source observed=2026-08-11T00:18:20.370311Z digest=sha256:21401f480a14bc4ef86156ca45533be010a62e457310530f2f706d0d2525e7ce

Observation c1f5dede-fbc4-4c3f-b880-10d97ada45f8 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 34

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source=arxiv_source observed=2026-08-11T00:18:20.375662Z digest=sha256:37824d012f8bf9a3c8e9557b5ebaa0895b36cb47976ccc8affa2b7a215893616

Observation eb26129c-d6a3-4152-92aa-1c7b4c1306c3 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 35

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source=arxiv_source observed=2026-08-11T00:18:20.381169Z digest=sha256:25628f8c0a3a85cf617e4debac34b3320b0c2d510c77ad8888123e23bced0e26

Observation e594c5e3-c8a3-4ce9-9f08-d1682cda8f5d · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.386327Z digest=sha256:adb3ad87772a8310e6fc4ba89274331935fbab37bf9a3a47019009fcfb92f48f

Observation c516825f-7ff6-4b89-bfd4-14126561b17b · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.391560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.391560Z digest=sha256:0b794c033252b3055a2e70e64eb65303e1db2691430f84c9dd58ce62ad948b3f

Observation 6a14c1e5-20e2-4b77-b033-e1f059125d11 · outbound

This paper cites Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.396322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.396322Z digest=sha256:aa394086b9264a0fcb2eafe846e3b12c5a1f453c459a042c471a0cb5bd964e2f

Observation 9b03ee4a-65b5-4c1c-b19c-abb6f5d7f700 · outbound

This paper cites Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.401278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.401278Z digest=sha256:fa7d0ab75c7b67ef83e5f20b17758f6447f385cfd191fdac5a0dce8d1215435e

Observation 65b9eb48-dc98-4e99-a864-6f91c06b072d · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.406339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.406339Z digest=sha256:d964ce4b7e623ba83b1bb0f1b38bf503bd04d6ae98ab88fbfa4aa0e2ec7c3e33

Observation f781512a-0e7a-4f92-bf81-bda23d0e3c3c · outbound

This paper cites , Pinto, L.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following , Pinto, L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T00:18:21.278698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.411550Z digest=sha256:f2560bb858a27770d9e226198baa58b2ba967eec3e28367484582d9ac28aaf98

Observation 7de18abc-ddda-45a5-801b-6f9dcd44b3cf · outbound

This paper cites @esa (Ref.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following @esa (Ref

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.417259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.417259Z digest=sha256:d760a0c01933c110f13522f82d1548606ffa8618448e2729030218a9242b30a8

Observation 8257990e-3096-4b13-90d4-41462a7b0ccf · outbound

This paper cites an unresolved cited work.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:20.422862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:20.422862Z digest=sha256:938007d3402846148c6c6d810f929edabf97d13400752f044d26ebd233660ef5

Observation 8179ae5a-3b26-4581-b2f0-dd08092a7228 · outbound

This paper cites Put a chilled potato on the small black table.

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following Put a chilled potato on the small black table

Reference 44

Resolution
verified exact
raw_fallback, observed 2026-08-11T00:18:20.555973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:18:20.427813Z digest=sha256:8b610ff9bc9d6dbdd4ede716c875c41ac66da6f6d86760bc71cc7182dfbb557c

Pith citing papers

Observation ee47e706-8a6e-4722-8ca4-a86f67857dbd · inbound

RePlan-Bot: Multi-Level Replanning for Embodied Instruction Following cites this paper.

RePlan-Bot: Multi-Level Replanning for Embodied Instruction Following Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:23:58.795469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T21:21:30.990215Z digest=sha256:0f8da54ab8ad6932716a67726fcabcb4c69111c8153a7cfe00f3d15f4018a602