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Paper Citation Record · LEDGER

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

As of 11 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2412.14212.

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

pith.paper-citation-record.v1
2412.14212 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:59:41.679914Z

measured 42 of 42 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:35.525639Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T23:13:15.565466Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e304b65-ea18-4eba-99c7-2aff4c118a3b · outbound

This paper cites GPT-4 Technical Report.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution GPT-4 Technical Report

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.446504Z digest=sha256:3fcf72358170f43bfb78c94604cd96dda99ece8a0d7332380a16c7c701b16684

Observation 3cd981b3-6c7e-4967-99d2-3454563bb89a · outbound

This paper cites Claude 3.5, 2023.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Claude 3.5, 2023

Reference 3

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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=2026-08-11T12:59:41.450903Z digest=sha256:f4d7a2d2272badac9a438a13c896dac602e409dd35bf5c9acb072fc22532fa32

Observation ff5f2899-e4a2-49d9-b358-deb08ded0a9c · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Graph of thoughts: Solving elaborate problems with large language models

Reference 4

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source=pdf_text observed=2026-08-11T12:59:41.456837Z digest=sha256:14ded33d46e4ab2afd51423c1356428b40d2d3c42dff37e140991a964438b09b

Observation c0be290e-e21a-46a9-9519-541172a321cd · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Unleashing the potential of prompt engineering for large language models

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:59:41.461374Z digest=sha256:908748d8ef652e7ca40f881a984ea79cdef1f07c359ee231bcd3a0eabe718ff6

Observation a024fe8b-ca56-4c8a-b1d2-f4a85639225a · outbound

This paper cites Scaling instruction-finetuned language models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Scaling instruction-finetuned language models

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T12:59:41.466933Z digest=sha256:04f23c9cf691e8291494eb41b0cfe65405f4f44b4fdbfb84bb48a05cc7019ace

Observation 444a0cb1-3a43-484b-86ec-c6e11f5f0610 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.471801Z digest=sha256:35ca1f27513feec060005c89f895aa6cf973dbef11e290cace15180d9bea5adc

Observation bd095715-684d-4aa4-aaab-d091f8c7fbd0 · outbound

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

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 9

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source=pdf_text observed=2026-08-11T12:59:41.480548Z digest=sha256:aa4c87ccb7691627403a92552be9df395e12a35fb9b7090e4ae6ba6b6668def9

Observation daf9ad9a-2a0d-49e7-b6b3-3a982c3a6eef · outbound

This paper cites ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.484759Z digest=sha256:95407865e236bdf60f8584d146953b89992eb1263390d9fcee5edcefdc1a678a

Observation 7576e78c-02ab-44c0-8553-74d9bd1a26e0 · outbound

This paper cites L2mac: Large language model automatic com- puter for extensive code generation.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution L2mac: Large language model automatic com- puter for extensive code generation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:42.193044Z

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=2026-08-11T12:59:41.490609Z digest=sha256:b718e70e90e3723935694d90afc002869cfdb5673f6a16739999410f4d61cca3

Observation 6df3e750-c868-437e-ad15-e8482128e944 · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.494693Z digest=sha256:226da92d2b86491827bfd8591c4878a9fc8173c95edb407739e5b8511bf06da2

Observation eeaef3b8-5c98-4354-812c-d216a69cb93c · outbound

This paper cites Survey of hallucination in natural language generation.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Survey of hallucination in natural language generation

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.499873Z digest=sha256:9c6c4608b6a2b86b5dbb09c58921ef8450ad2728530c7780330c82666e1f3019

Observation 9b65132c-bf99-45da-9aa3-efd24e33e02a · outbound

This paper cites Chatdev: Communicative agents for software development.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Chatdev: Communicative agents for software development

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.503378Z digest=sha256:a0a713d5bf895430e0fb54f82647827278a645bffef020c4c1fed1b9fdf40fe7

Observation fe938619-4181-464e-8669-ffa953482809 · outbound

This paper cites Evaluation on agi/gpt based on the dikwp for ernie bot.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Evaluation on agi/gpt based on the dikwp for ernie bot

Reference 15

Resolution
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raw_fallback, observed 2026-08-11T12:59:42.168068Z

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=2026-08-11T12:59:41.507371Z digest=sha256:e33e9717c9c88489510e0deffede9705358fe74ffdee48dc22e745d759e4f22d

Observation 42bae3eb-003b-4fad-99a7-1748f3f63655 · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.511099Z digest=sha256:3b2dcb340c9a7d2059170933eb6014ae7344ccf25415b3c0410de979594b7fbd

Observation 31f33305-3906-4891-b7e4-1131728588ed · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.515933Z digest=sha256:ebf1956836605358bf64de28d06026847c2d75213476d894a59d54518c0b63ca

Observation 340ad2c4-804a-43e2-8035-a2f5907fa561 · outbound

This paper cites Reasoning about edits to feature models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Reasoning about edits to feature models

Reference 18

Resolution
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raw_fallback, observed 2026-08-11T12:59:42.154750Z

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=2026-08-11T12:59:41.520488Z digest=sha256:d5e009abab344b9930e558155487f6488fdba718b197c8cb03a5635cb65ecc8f

Observation 9aaf8417-2fde-4ced-9082-e3aff705c2ac · outbound

This paper cites LeTI: Learning to Generate from Textual Interactions.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution LeTI: Learning to Generate from Textual Interactions

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:59:41.525419Z digest=sha256:976e73ea0c650390be5d003d41fee805ad334d9288c8f5713b0feb0558c0d067

Observation efdd5d74-11fd-4d12-9def-6257acf6e965 · outbound

This paper cites Executable Code Actions Elicit Better LLM Agents.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Executable Code Actions Elicit Better LLM Agents

Reference 20

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source=pdf_text observed=2026-08-11T12:59:41.529404Z digest=sha256:38e275cc4e54e9d1e335dad9aee6f4e21d9a5d46acceda3d632c187a7299a7dc

Observation b5e5dda0-6d99-4dee-83fe-0c4535c4ef5b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Chain-of-thought prompting elicits reasoning in large language models

Reference 21

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source=pdf_text observed=2026-08-11T12:59:41.533802Z digest=sha256:87d27355e9ccab575109c4eba6c6c3bd1be00dca0df0829639d3f0926a5c776d

Observation 2c918f6b-dcdc-4930-9155-4078a4f5f7d6 · outbound

This paper cites Learning task decomposition to assist humans in competitive programming.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Learning task decomposition to assist humans in competitive programming

Reference 22

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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=2026-08-11T12:59:41.537434Z digest=sha256:b045b2a32ad7bb05311fba6ef7b6ddf4cae48cd431af062f009dbdc2a41ca76e

Observation 53e7dec8-f442-4880-9cd8-44dd889acd74 · outbound

This paper cites Learning Task Decomposition to Assist Humans in Competitive Programming.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Learning Task Decomposition to Assist Humans in Competitive Programming

Reference 23

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source=pdf_text observed=2026-08-11T12:59:41.541593Z digest=sha256:5d715a645f23f55087ad127ff39d8fa1001fadcde3371ff43dd615afcf0d0cd0

Observation d3fe8d02-16fc-4957-b514-40497a493981 · outbound

This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Wizardlm: Empowering large pre-trained language models to follow complex instructions

Reference 24

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source=pdf_text observed=2026-08-11T12:59:41.545303Z digest=sha256:9a8300173072f50fecc00306b75af3cdc568e143ac6252050434202d3332fb66

Observation e0db899c-83c4-4a0d-adf6-b7565b1b5a89 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Tree of thoughts: Deliberate problem solving with large language models

Reference 25

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source=pdf_text observed=2026-08-11T12:59:41.553545Z digest=sha256:251fc5f9907c4f1fc343b48221f9d6d9ce60555b72d74d1282fd6ef579399185

Observation 2dc889ed-5dcc-4263-b8e9-d83d6a081123 · outbound

This paper cites Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

Reference 26

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source=pdf_text observed=2026-08-11T12:59:41.560832Z digest=sha256:058c10897f021752bb6b3b2d22151236aa7a8bb2864ee82a58db30cda3daa961

Observation 9759a5a4-d100-41b3-8419-44b68164e695 · outbound

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

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 27

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source=pdf_text observed=2026-08-11T12:59:41.575964Z digest=sha256:038ec232f49c34a9d75be14c361c8d519ea4a3c1dd468364e69dd31731d592dc

Observation db64c994-1d1b-46a9-a8a9-c7a543a8d98b · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 28

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

source=pdf_text observed=2026-08-11T12:59:41.592973Z digest=sha256:da55eec88d79eac3a6a4457a50ae08e5082c861c194c2bec951902e41606e991

Observation 04e15dc4-a391-4b7f-b313-a5cd65f87bbd · outbound

This paper cites Limitations.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Limitations

Reference 29

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raw_fallback, observed 2026-08-11T12:59:42.021375Z

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

source=pdf_text observed=2026-08-11T12:59:41.612353Z digest=sha256:c3eb017d40dd24ffce3005fb13edbcb3c039f66fc4e27402dc543969a8810cf2

Observation e07178ec-52d5-4c9f-8267-8c61dcb0863b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 30

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raw_fallback, observed 2026-08-11T12:59:41.996261Z

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=2026-08-11T12:59:41.632558Z digest=sha256:354fe2d4c7a2e28d020b786b3761f642be720d12673cbf4a4c05c151b62cffa1

Observation 51ce2515-0ff6-43d3-adbd-88c43eb8c61b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not include experiments

Reference 31

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raw_fallback, observed 2026-08-11T12:59:41.986041Z

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=2026-08-11T12:59:41.636246Z digest=sha256:e8d58d549794b05736e545c28862301f2737f5285212ba58bc830b4505f738e8

Observation 1f3c3776-c9c9-4713-990c-c93a56ae6f77 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 32

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raw_fallback, observed 2026-08-11T12:59:41.975513Z

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=2026-08-11T12:59:41.640160Z digest=sha256:32c5c2200778c7eb8d540b2b6525e04661214a5fe00dd2502606f1cc0d90c1fe

Observation ce349841-4729-4fb0-8b20-76167cc24bf7 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not include experiments

Reference 33

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raw_fallback, observed 2026-08-11T12:59:41.963908Z

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=2026-08-11T12:59:41.644172Z digest=sha256:bf16935574cb247cd91dc56bf46a3b866b7113253ac39e4c13719343991e563c

Observation f842543d-96cd-4bba-a2e1-a741db250553 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not include experiments

Reference 34

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raw_fallback, observed 2026-08-11T12:59:41.951808Z

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=2026-08-11T12:59:41.649626Z digest=sha256:bb7a7fb0ff730632bbe8ceb04b6a421d1f091624d35bfe6bcd6cd69167a45517

Observation 72ad4ed1-edee-47a1-97b8-5f8e241bf013 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not include experiments

Reference 35

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raw_fallback, observed 2026-08-11T12:59:41.939289Z

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=2026-08-11T12:59:41.653760Z digest=sha256:e79893c568cf8d96d1c9ca7569ba0fa41e9721f22b2aff4a513d7943468c35f7

Observation 30323f8c-27db-4b98-a16d-0353595183e0 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 36

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raw_fallback, observed 2026-08-11T12:59:41.926703Z

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=2026-08-11T12:59:41.657304Z digest=sha256:c4d600a05bd2d4b38fd337f4194de503da4cb3b8bdb739c213019bfe96b9230e

Observation 2adb4b22-6e15-4059-8f01-f96e991cfa2f · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 37

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raw_fallback, observed 2026-08-11T12:59:41.915394Z

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=2026-08-11T12:59:41.661236Z digest=sha256:92731b0aeeaccdb363e9d43edf6c068689466067665ce49573eeb6337bc143f6

Observation 48e65aa8-c177-41cc-bd60-af4e9a5b57f1 · outbound

This paper cites These models commonly have safeguards in their own license description.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution These models commonly have safeguards in their own license description

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:41.903577Z

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=2026-08-11T12:59:41.664720Z digest=sha256:01c0b2b97f39a6dd29c1b128591200a1e5e648c007f87981cf6264560d974eaa

Observation 194d9305-4e9b-435b-a193-ca0c8a2816ec · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not use existing assets

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:41.888361Z

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=2026-08-11T12:59:41.668820Z digest=sha256:be6ee1bc0edcbe6b33be6eda8020ea364dd30df09e9c868a133515919327695f

Observation f158e7e1-6f93-49b5-a51c-9125a9fae267 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not release new assets

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:41.873949Z

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=2026-08-11T12:59:41.672494Z digest=sha256:7a512e0d249904a33be43788e4359a1f914a9aa448949166c1fe4a07c718af0d

Observation e4b35de9-9dae-4a45-9c44-71169dbd0bf5 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:41.863727Z

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=2026-08-11T12:59:41.676184Z digest=sha256:218af20660bec8813d9940e8a2643cc90081068d812e130e3d7512e295eb833b

Observation ad35357f-41de-4840-b226-ad2adb38a4b8 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:59:41.841251Z

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=2026-08-11T12:59:41.679914Z digest=sha256:8c05ad118185dc339e18f9ae6d5c6288c08e79ead672b0e37044e40993431e7c

Pith citing papers

Observation 54b1d34a-a5ed-4a4e-bb13-cafa3ee0119a · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Reference 219

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:13:15.569850Z

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=2026-05-14T23:13:15.016486Z digest=sha256:e8331de77bffabd195d10eda1b99d2e83428437ac455002b68c223c7574b73f0

Observation 1debe8c0-46e5-41b1-90a9-54954f4e4cb5 · inbound

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents cites this paper.

The Horizon Gap: Planning, Memory, Execution, Training, and Evaluation for Long-Horizon LLM Agents Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T23:01:35.525639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:35.525639Z digest=sha256:1026650b979e277f12b43bba23e0a9e3c68f878f6098472f599d7732e699b6c5