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Paper Citation Record · LEDGER

TAPO: Task-Referenced Adaptation for Prompt Optimization

As of 11 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2501.06689.

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

pith.paper-citation-record.v1
2501.06689 v3

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:57:57.351798Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

  • verified exact1
  • verified fuzzy9
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f023041-1a13-40cf-9f97-8512b471c7d3 · outbound

This paper cites A Survey of Large Language Models.

TAPO: Task-Referenced Adaptation for Prompt Optimization A Survey of Large Language Models

Reference 1

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source=pdf_text observed=2026-08-10T20:57:57.204584Z digest=sha256:fdc3386fea20ef9b259ca28785d29a020d259a1d3a25a1997ce8bb81a625b25a

Observation c8a47a52-bd68-49dc-bec2-5375490bf66d · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

TAPO: Task-Referenced Adaptation for Prompt Optimization Large Language Models Are Human-Level Prompt Engineers

Reference 2

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source=pdf_text observed=2026-08-10T20:57:57.209794Z digest=sha256:7fad0bb9b94055b09cd343dc8700b36481976ab19743fd157db3b1bd384694a3

Observation db62fc0d-8277-4df0-928e-0e4ee1865dc4 · outbound

This paper cites TEMPERA: Test-Time Prompting via Reinforcement Learning.

TAPO: Task-Referenced Adaptation for Prompt Optimization TEMPERA: Test-Time Prompting via Reinforcement Learning

Reference 3

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source=pdf_text observed=2026-08-10T20:57:57.214519Z digest=sha256:f1ee334c99926c52486fdafbb370744f6e3ad60a9542be6489266487291cd247

Observation ce491cec-002a-4be4-9849-791a67f5aeb8 · outbound

This paper cites Selective Annotation Makes Language Models Better Few-Shot Learners.

TAPO: Task-Referenced Adaptation for Prompt Optimization Selective Annotation Makes Language Models Better Few-Shot Learners

Reference 4

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source=pdf_text observed=2026-08-10T20:57:57.219130Z digest=sha256:0fdef20d5c4b7a923e21d7a6fe555ec0b01ffafd46c82091611e2147c6248efc

Observation a5015de3-dd5c-46fa-924a-474c8af93ccd · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

TAPO: Task-Referenced Adaptation for Prompt Optimization Automatic Chain of Thought Prompting in Large Language Models

Reference 5

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source=pdf_text observed=2026-08-10T20:57:57.223686Z digest=sha256:c93c01de141db7e7f9246ca71b789c5822b161956c185e349ec03e9be761a4f4

Observation 7dbaf967-916d-481c-bd3a-7dc686e5df20 · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

TAPO: Task-Referenced Adaptation for Prompt Optimization Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 6

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source=pdf_text observed=2026-08-10T20:57:57.228068Z digest=sha256:7b892e397223f5258170e822545f0c4ae1172f0f8c61cbca54649853394dbca2

Observation 3b9de0e8-0556-425d-a29f-0dc540e73cbe · outbound

This paper cites Eliciting Human Preferences with Language Models.

TAPO: Task-Referenced Adaptation for Prompt Optimization Eliciting Human Preferences with Language Models

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:57:57.232588Z digest=sha256:47866d12b42151760e215cb2234ff2966f52dcfb6b5489387f86c84f087aa6fd

Observation cdab32b4-89be-4f94-a7ed-5b2fe2c5ec82 · outbound

This paper cites Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions.

TAPO: Task-Referenced Adaptation for Prompt Optimization Machine Translation with Large Language Models: Prompt Engineering for Persian, English, and Russian Directions

Reference 8

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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=2026-08-10T20:57:57.236585Z digest=sha256:ceaa0643f44a3bc5bbb9ca4fb59b44e5ce317e1ba61ce3d24910c5bc1fb1f0fb

Observation bed22a47-5f96-4ab6-9e0a-db937800109c · outbound

This paper cites Learning to solve arithmetic word problems with verb categorization,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Learning to solve arithmetic word problems with verb categorization,

Reference 9

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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=2026-08-10T20:57:57.240723Z digest=sha256:33bef3ef7b9c47090f5e1a3031bc97c56024ce3b3383ad88f97e6f1521e0657b

Observation e0585452-8361-4a80-990e-73c4e9183963 · outbound

This paper cites Solving General Arithmetic Word Problems.

TAPO: Task-Referenced Adaptation for Prompt Optimization Solving General Arithmetic Word Problems

Reference 10

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source=pdf_text observed=2026-08-10T20:57:57.244666Z digest=sha256:bc2a1baa85187680c603d35f36c0020e2f8d3e62c0f92499172be256a52bc211

Observation 4d3068c4-0f41-48ba-8e69-1626d8eedadd · outbound

This paper cites Parsing algebraic word problems into equations,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Parsing algebraic word problems into equations,

Reference 11

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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=2026-08-10T20:57:57.248843Z digest=sha256:9bc607d79608e28e5251c964f08cc4ea3c6192dcd2c92afa7dd2c12a7a077da3

Observation 786ec855-78fc-49bf-8966-0defde8d8956 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

TAPO: Task-Referenced Adaptation for Prompt Optimization Are NLP Models really able to Solve Simple Math Word Problems?

Reference 12

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source=pdf_text observed=2026-08-10T20:57:57.253032Z digest=sha256:d6e2088a3b8942186ecabd0feddb79e0ecaf45696200fecbec87a2b7dc989311

Observation f1ab0ca7-4e95-4206-a6a9-7073807e8e8a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TAPO: Task-Referenced Adaptation for Prompt Optimization Training Verifiers to Solve Math Word Problems

Reference 13

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source=pdf_text observed=2026-08-10T20:57:57.257834Z digest=sha256:97617ea0f0e339d4ebdec35cc84b585f0fd75405b3353b879b4b7340291f30ef

Observation 0df76838-29dd-462a-9686-812e9eef82e6 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

TAPO: Task-Referenced Adaptation for Prompt Optimization Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 14

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source=pdf_text observed=2026-08-10T20:57:57.261868Z digest=sha256:10b5defc6101f31f9ac459ef5757f98306f57798947caf140cfee6e04c754cbe

Observation 9f618c1d-46b5-4f77-9c70-c9f6d7af3caf · outbound

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

TAPO: Task-Referenced Adaptation for Prompt Optimization Chain-of-thought prompting elicits reasoning in large language models,

Reference 15

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source=pdf_text observed=2026-08-10T20:57:57.265588Z digest=sha256:7b21ef21c4ae1b22d161c583edefce1bc122c32a613fcb9aaaf65f2a75675dae

Observation 48bd574a-f133-46a3-a46f-b376c212ff4a · outbound

This paper cites Prompt Engineering a Prompt Engineer.

TAPO: Task-Referenced Adaptation for Prompt Optimization Prompt Engineering a Prompt Engineer

Reference 16

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source=pdf_text observed=2026-08-10T20:57:57.269171Z digest=sha256:c4139015f727104cc7700e1022d68e02626dada5d69bd1826e9ae509f6537c84

Observation e86a117e-311d-4541-98d8-2363c75d15d9 · outbound

This paper cites Gpt-3.5 turbo model documentation,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Gpt-3.5 turbo model documentation,

Reference 17

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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=2026-08-10T20:57:57.273042Z digest=sha256:a4ddbdecaecc19f4157f9f5c631e8ed7a3cf9a893a85565bd6351ccdacb73701

Observation 2b8c105a-0ff5-45c0-bdab-efbbc9bef7b3 · outbound

This paper cites GPT-4o System Card.

TAPO: Task-Referenced Adaptation for Prompt Optimization GPT-4o System Card

Reference 18

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source=pdf_text observed=2026-08-10T20:57:57.276383Z digest=sha256:4cef5f360750123b5862caf7be266a68dfda44adec0b3359425b26207846f0fb

Observation 5ea3741b-e87c-4291-8d84-3a1445c427f5 · outbound

This paper cites The Llama 3 Herd of Models.

TAPO: Task-Referenced Adaptation for Prompt Optimization The Llama 3 Herd of Models

Reference 19

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source=pdf_text observed=2026-08-10T20:57:57.280108Z digest=sha256:89733b7213d6fcfd8861425c792efa329b5606623858b796ea4eade85a3deea8

Observation 438feaf7-c3a7-4a58-a5fa-27e19e30d9c5 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

TAPO: Task-Referenced Adaptation for Prompt Optimization Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 20

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source=pdf_text observed=2026-08-10T20:57:57.283958Z digest=sha256:3a2b6d365194c068316816ba446563ff228307e88813d8c0a94864225248aec5

Observation 930562fb-262f-4fe2-9576-9fe6b792d7e0 · outbound

This paper cites Language models are unsupervised multitask learners,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Language models are unsupervised multitask learners,

Reference 21

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source=pdf_text observed=2026-08-10T20:57:57.287798Z digest=sha256:be963364581eec5611c5dc00863fb4076768d8459459da8bde29cbf5bff75afe

Observation a9e0e4b7-baae-4226-9d20-5b52840e2e83 · outbound

This paper cites Agentir: 1st workshop on agent-based information retrieval,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Agentir: 1st workshop on agent-based information retrieval,

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=2026-08-10T20:57:57.291646Z digest=sha256:d4075fad6292a36177e2a98a40ea6a558f699f3523b54ec96a6e4f5f029114d6

Observation 1763a815-8c84-44a2-81bf-285f7fcb0fe9 · outbound

This paper cites Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.

TAPO: Task-Referenced Adaptation for Prompt Optimization Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM

Reference 23

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source=pdf_text observed=2026-08-10T20:57:57.295476Z digest=sha256:0786fce8a985bedd97f37bd7e5fcf141149434c0cefb20e6cdc8d90028fc315c

Observation 389c37ed-4bab-477c-927d-682f32cbeb24 · outbound

This paper cites Bridging relevance and reasoning: Rationale distillation in retrieval-augmented generation,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Bridging relevance and reasoning: Rationale distillation in retrieval-augmented generation,

Reference 24

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source=pdf_text observed=2026-08-10T20:57:57.299393Z digest=sha256:84ad6b700be393d074e7bc87642f21dbf0972c9e474347bce537b557a771bad8

Observation ccfd6b27-d8c3-4228-ae77-6c1767a7117e · outbound

This paper cites G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.

TAPO: Task-Referenced Adaptation for Prompt Optimization G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

Reference 25

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source=pdf_text observed=2026-08-10T20:57:57.303315Z digest=sha256:d37f8ddcf65aee202d897643f88184193d08916d3e4a950a254473006bb27f49

Observation bc09719e-d048-4440-9ccb-1908200242bd · outbound

This paper cites SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.

TAPO: Task-Referenced Adaptation for Prompt Optimization SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval

Reference 26

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source=pdf_text observed=2026-08-10T20:57:57.307405Z digest=sha256:d5ef00da86a0a73325cee710a4a35c92e9c1848ef70d0bbb0201cc5c8eea637f

Observation 1d934965-6c4f-4ad8-a2d9-08fe42313ac8 · outbound

This paper cites MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

TAPO: Task-Referenced Adaptation for Prompt Optimization MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

Reference 27

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source=pdf_text observed=2026-08-10T20:57:57.311452Z digest=sha256:de90a94073e898c82cfd723378bb89bbba01b6159d6ce1946a7cb67f9d332386

Observation 0b4af15d-f18e-4548-b6fa-8d6ef921e42e · outbound

This paper cites When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications,.

TAPO: Task-Referenced Adaptation for Prompt Optimization When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications,

Reference 28

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raw_fallback, observed 2026-08-10T20:57:57.996449Z

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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=2026-08-10T20:57:57.315684Z digest=sha256:60d1cc17800d19acbd4b515d3cbc547bad8241cad53bc9e3707734e2c1384113

Observation 5bf60ac7-6766-4ef2-ab7a-89867eb8baae · outbound

This paper cites Llm-esr: Large language models enhancement for long-tailed sequential recommendation,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Llm-esr: Large language models enhancement for long-tailed sequential recommendation,

Reference 29

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raw_fallback, observed 2026-08-10T20:57:57.984358Z

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=2026-08-10T20:57:57.319691Z digest=sha256:6916a919a66ebc2773c0ed9fc8e705c5aa393ea6cb9fe73845424f07888a1ea2

Observation 2c29968a-5eae-4828-90a6-26bbadba1325 · outbound

This paper cites Hamur: Hyper adapter for multi-domain recommendation,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Hamur: Hyper adapter for multi-domain recommendation,

Reference 30

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raw_fallback, observed 2026-08-10T20:57:57.971827Z

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=2026-08-10T20:57:57.323852Z digest=sha256:42b1e480671e0a5d835a436be9cfaf3e3fbb6c5900eceda25d9b2741d6cb1c05

Observation 1157c6b6-1827-454e-a222-8a3fe8c5164b · outbound

This paper cites Hierrec: Scenario-aware hierarchical modeling for multi-scenario recommendations,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Hierrec: Scenario-aware hierarchical modeling for multi-scenario recommendations,

Reference 31

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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=2026-08-10T20:57:57.327719Z digest=sha256:ab5e1da546c9c43628ebbe382542d1aadb1029bf014097c2dc3e9f0ce466e393

Observation 55ad6b5a-3c81-4e23-b1c6-a38b55424f89 · outbound

This paper cites D3: A methodological exploration of domain division, modeling, and balance in multi-domain recommendations,.

TAPO: Task-Referenced Adaptation for Prompt Optimization D3: A methodological exploration of domain division, modeling, and balance in multi-domain recommendations,

Reference 32

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raw_fallback, observed 2026-08-10T20:57:57.946284Z

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=2026-08-10T20:57:57.331530Z digest=sha256:2a92335b9fcb5b5b6cdad50f877139cfdab43ce344c650ac7db40f80455cbe98

Observation 5c93207a-a107-43aa-b548-b6075042177b · outbound

This paper cites Scenario-wise rec: A multi-scenario recommendation benchmark,.

TAPO: Task-Referenced Adaptation for Prompt Optimization Scenario-wise rec: A multi-scenario recommendation benchmark,

Reference 33

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source=pdf_text observed=2026-08-10T20:57:57.335312Z digest=sha256:778604d3d74f55d9e34ae7e8e94f736d6294f7905de820dc2a0e2f3d5033956d

Observation 93b1f11d-d6f7-415c-9b9a-7d7733184e1e · outbound

This paper cites Large Language Model Enhanced Recommender Systems: A Survey.

TAPO: Task-Referenced Adaptation for Prompt Optimization Large Language Model Enhanced Recommender Systems: A Survey

Reference 34

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source=pdf_text observed=2026-08-10T20:57:57.339073Z digest=sha256:b61c431c04f637d73efb55385dbb2d204d900813275052159b3d270c53926840

Observation c4805968-4bf5-4b99-887c-d574c4096d86 · outbound

This paper cites LLM-Powered User Simulator for Recommender System.

TAPO: Task-Referenced Adaptation for Prompt Optimization LLM-Powered User Simulator for Recommender System

Reference 35

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source=pdf_text observed=2026-08-10T20:57:57.343470Z digest=sha256:84b053258ed74c71c72c254995936fbc60480f02bd3b6328b5c06e433746f411

Observation 578c3166-080e-4c40-b478-5d9a0c485158 · outbound

This paper cites RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning.

TAPO: Task-Referenced Adaptation for Prompt Optimization RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Reference 36

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source=pdf_text observed=2026-08-10T20:57:57.347711Z digest=sha256:648d1155afb00b45f1333947f1c989f269cb6b4f06e567fc0d81e58534ed9ba1

Observation 13e9e4b2-5e41-4ea5-a9b3-af2e065d6df2 · outbound

This paper cites Large Language Models to Enhance Bayesian Optimization.

TAPO: Task-Referenced Adaptation for Prompt Optimization Large Language Models to Enhance Bayesian Optimization

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.