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Paper Citation Record · LEDGER

Context-Enhanced Contrastive Search for Improved LLM Text Generation

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2504.21020.

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

pith.paper-citation-record.v1
2504.21020 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:19:39.722184Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T08:17:27.376586Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:01:29.034589Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved24
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d172fd8a-d9ef-4260-a081-0b286da96824 · outbound

This paper cites Language Models are Few-Shot Learners.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Language Models are Few-Shot Learners

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.622630Z digest=sha256:2da2a08dc7e51ce0ca172937061113ee1eec18e35be837405ffa25ab37f3c11e

Observation ac3ed8ba-6791-4f0d-b8b8-3135eab3b052 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Context-Enhanced Contrastive Search for Improved LLM Text Generation PaLM: Scaling Language Modeling with Pathways

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.631866Z digest=sha256:09f1c6354e8219864470bfe79a83e1c00d002234d93cdb51152b76306c52334e

Observation 56ca12e4-89eb-44a0-8415-2702301c158e · outbound

This paper cites A Thorough Examination of Decoding Methods in the Era of LLMs.

Context-Enhanced Contrastive Search for Improved LLM Text Generation A Thorough Examination of Decoding Methods in the Era of LLMs

Reference 4

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source=pdf_text observed=2026-08-16T11:19:39.635579Z digest=sha256:14ad806f5cd22837dc852c6924998068cd8b25bb0d0645be5b2fb1ac0d931f95

Observation d5f8d0ae-97e8-4404-9c06-8aad077ed07f · outbound

This paper cites Contrastive Search Is What You Need For Neural Text Generation.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Contrastive Search Is What You Need For Neural Text Generation

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.639307Z digest=sha256:a2b957254b26eebe6819ef49afeb5940d0a0f3e7a85f6187eb46da9dfe09b1e6

Observation f1a1ec28-7c72-41ac-a51f-bfa0733fccb2 · outbound

This paper cites Contrastive learning penalized cross-entropy with diversity contrastive search decoding for diagnostic report generation of reduced token repet ition,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Contrastive learning penalized cross-entropy with diversity contrastive search decoding for diagnostic report generation of reduced token repet ition,

Reference 6

Resolution
verified exact
doi, observed 2026-08-16T11:19:39.877413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:19:39.643436Z digest=sha256:1e16e51f377daeb611615f50dcaf31f5af5c1a7fade36472e111857e998cf7de

Observation 6278c7b4-9e26-4a62-a15d-55677c1858ed · outbound

This paper cites Contrastive decoding: Open-ended text generation as optiization,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Contrastive decoding: Open-ended text generation as optiization,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.647104Z digest=sha256:765508c11d3ff4037506ccc3d60fed86c90e6cac82212f0d81dc524c8d033fdc

Observation 4ad6c6c8-a295-4d49-a59e-34bcb2f2eba4 · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Context-Enhanced Contrastive Search for Improved LLM Text Generation LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.650025Z digest=sha256:0648ef967507154988a07a8795b9a93041937dc0815b9e40f4de05cac2f74e48

Observation 22e45354-eecf-41aa-a754-cab5ab7995f6 · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.653229Z digest=sha256:1b1e21f19a45c144154d10371a220e1118781b40c99674ea9a522aabd54ab06c

Observation b4176f79-ad7e-4c80-866b-7c531c2ac9f8 · outbound

This paper cites Decoding Speculative Decoding.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Decoding Speculative Decoding

Reference 10

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source=pdf_text observed=2026-08-16T11:19:39.657316Z digest=sha256:e3391afb1ce58563b1e63b9556302d6c7d9bbd7cc600777635629bcca9caa740

Observation 0b8aa4c9-6991-4635-883e-078ba2f5ab8e · outbound

This paper cites FocusLLM: Precise Understanding of Long Context by Dynamic Condensing.

Context-Enhanced Contrastive Search for Improved LLM Text Generation FocusLLM: Precise Understanding of Long Context by Dynamic Condensing

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.660664Z digest=sha256:9a04bd136d6f614d21fd562715551d32129c2e918f9e1359bead3a416235e540

Observation 49b76e98-067e-4da8-a2cb-16981ed4cdd8 · outbound

This paper cites Neural Text Generation with Unlikelihood Training.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Neural Text Generation with Unlikelihood Training

Reference 12

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source=pdf_text observed=2026-08-16T11:19:39.664378Z digest=sha256:1fc8a7b68bb00c3b2a049a6af3d2dcd7db5c0acb4c670e3de97629c5459d7d13

Observation c67ab3cf-a08f-4df1-b85a-92385f9caee4 · outbound

This paper cites Hot or cold? Adaptive temperature sampling for code generation with large language models,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Hot or cold? Adaptive temperature sampling for code generation with large language models,

Reference 13

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no resolver link, observed 2026-08-16T11:19:39.667995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.667995Z digest=sha256:8cdd6e5596d17909f2b184d47c9f06ab155b916f76b5ed599e830015d05e68ef

Observation dd553179-bb15-47fa-8118-919c1405ac35 · outbound

This paper cites Locally typical sampling,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Locally typical sampling,

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.670821Z digest=sha256:f3608fc5d532218449c9bb43fe931f1cad471218a32a3b0e12ec348740415588

Observation 9508cb99-a8bd-4aca-a143-a112173db4a4 · outbound

This paper cites Trusting your evidence: Allucinate less with context- aware decoding,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Trusting your evidence: Allucinate less with context- aware decoding,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.673866Z digest=sha256:e0e175616d3c1fdc0ef067dec2a7770633b755a94789cb3092b1f56f2724aad8

Observation c694e2ac-b681-4f64-9072-af14e2464250 · outbound

This paper cites Fast Inference from Transformers via Speculative Decoding.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Fast Inference from Transformers via Speculative Decoding

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.676763Z digest=sha256:afed4e4b92dadc976011223687646a0c97c4ccf2e3eac753038988f50146dfbf

Observation 87b0c04b-0de3-4d64-a4cd-0e64ed9deb3c · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Accelerating Large Language Model Decoding with Speculative Sampling

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.680208Z digest=sha256:d2ba70c86e1c8b60dc4cb9d5d64dbcd566c05732e0a7bac067039a584994ae5c

Observation bda96a02-f082-44cd-bff2-8d87e66013f8 · outbound

This paper cites LongGenBench: Long-context Generation Benchmark.

Context-Enhanced Contrastive Search for Improved LLM Text Generation LongGenBench: Long-context Generation Benchmark

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.683366Z digest=sha256:29df9b3d10f4aaf18b866dc203c30fc66bcdd162ed178d8bc0b1573aa312e04e

Observation c4bd7d4f-f41d-4079-8b39-1add30a45a8e · outbound

This paper cites MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers.

Context-Enhanced Contrastive Search for Improved LLM Text Generation MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Reference 19

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source=pdf_text observed=2026-08-16T11:19:39.686557Z digest=sha256:e610096f0572148be2f7604421ec12d4baa84a52e10255065c8872d1ce03ffc2

Observation 738a333a-dca9-442b-a7b4-81205a08d5b7 · outbound

This paper cites Language models are unsupervised multitask learner s,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Language models are unsupervised multitask learner s,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:19:39.690152Z digest=sha256:a57c12d1b19f25c2506fcd96c123b77e797b536602ab9e1fb6a1d7b3513a105c

Observation ecc9f67d-1b6a-4449-b7d0-434d9e82497b · outbound

This paper cites GPT-Neo: Large scale autoregressive language modeling with mesh-tensorflow,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation GPT-Neo: Large scale autoregressive language modeling with mesh-tensorflow,

Reference 21

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source=pdf_text observed=2026-08-16T11:19:39.693047Z digest=sha256:0acce4e91483bdb3689cd6011cf32047ce4129f0831f3f19af74d955447c3699

Observation 134bc03b-47ff-478c-b4fc-f59421ce5e95 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Context-Enhanced Contrastive Search for Improved LLM Text Generation OPT: Open Pre-trained Transformer Language Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.695933Z digest=sha256:6c17cad698d136694fb0a60f2fcc031c8ddab2bdfbb1778921651fc16b6f65ab

Observation e4cc7326-e55b-4fec-a3c2-e0d18fe77040 · outbound

This paper cites Don’t give me the details, just the summary! Topic-aware convolutional neural networks for extreme summarization,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Don’t give me the details, just the summary! Topic-aware convolutional neural networks for extreme summarization,

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.699722Z digest=sha256:ee76aa9f8873770fef6cab7b7095cc13a0e14122f078bb11804b6fb1a8209ad6

Observation 37c5b69e-fbe8-44f6-b639-193d84df1d11 · outbound

This paper cites ROUGE: A package for automatic evaluati on of summaries,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation ROUGE: A package for automatic evaluati on of summaries,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:19:39.703775Z digest=sha256:1df7bcacbbdf965a97212162b65e00b4b7f0c15f3babfa947244982d7ee78f58

Observation ff7225cb-11af-45b0-85b2-8b505efe2cd6 · outbound

This paper cites BLEU: A method for automatic evaluation of machine translation,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation BLEU: A method for automatic evaluation of machine translation,

Reference 25

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source=pdf_text observed=2026-08-16T11:19:39.706558Z digest=sha256:0383fc0d117e092b01d61941926dd376432fc291aeb373e7eb5fb76b7ff8c9e1

Observation 8c996a31-4007-4ad7-ba43-c86afaeacc15 · outbound

This paper cites C OMET: A neural framework for MT evaluation,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation C OMET: A neural framework for MT evaluation,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.710004Z digest=sha256:61d4394cd9b22c3600639be9b0acdab9022c7a59729e1142985b8d0c38a3763e

Observation 4c494858-dabd-4b4f-9518-ee5008c5fad6 · outbound

This paper cites B ERT: Pre- training of deep bidirectional transformers for lan guage understanding,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation B ERT: Pre- training of deep bidirectional transformers for lan guage understanding,

Reference 27

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no resolver link, observed 2026-08-16T11:19:39.712687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.712687Z digest=sha256:d8575129430221efb9c5cd8e3e57bfb4112a8c02b0fbb3a4d125952e16527ac6

Observation 1cd14572-7404-4f98-8afd-f57929cf3b37 · outbound

This paper cites Unsupervised cross-lingual representation learning at scale,.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Unsupervised cross-lingual representation learning at scale,

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:19:39.715653Z digest=sha256:e13959c01b04f5501da391fee990b96c0c6c541fbd0eb3723238430f151c37b8

Observation 8e942283-92ff-42d1-93b1-ca97208b3437 · outbound

This paper cites Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET

Reference 29

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verified exact
local_arxiv, observed 2026-08-16T11:19:39.751504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:19:39.718895Z digest=sha256:06f0a22a502f9de62d8bd919afbe4a3b5586a36a579cfdbd693603b497816a43

Observation 5d82b6e2-b0e7-4d26-a4bb-88147c05fadd · outbound

This paper cites an unresolved cited work.

Context-Enhanced Contrastive Search for Improved LLM Text Generation Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T11:19:39.722184Z digest=sha256:fa3484050a6fe577750dff7e8cd842f436bf121f148260f4d044317d16d0b047

Pith citing papers

Observation d59795e8-e28f-4c31-8815-1b465d5a6d74 · inbound

From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks cites this paper.

From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks Context-Enhanced Contrastive Search for Improved LLM Text Generation

Reference 4

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arxiv_id, observed 2026-05-12T10:01:29.038234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-07T08:17:27.376586Z digest=sha256:b054353d195a8d867869998c186f50f3feff98bee4c920e2a1367cdcc04703ec