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Paper Citation Record · LEDGER

Few-shot LLM Synthetic Data with Distribution Matching

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2502.08661.

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

pith.paper-citation-record.v1
2502.08661 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:20:36.651160Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:26:40.199715Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact5
  • verified fuzzy4
  • unresolved56
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d62c1468-b50a-47e3-b96c-934b2c4decc9 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.297619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.415598Z digest=sha256:451d3897c4bea441844150ae53f74575d3f6e877fe18815e653425337df02b0f

Observation c8d9942e-84bc-4873-92a3-e2b45acf3748 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.287495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.424586Z digest=sha256:e27d87eeb353114afa2874c0086f7fa9b0de760528f550e9f09228f5d59cc036

Observation 38c30234-dee3-4ac2-b55a-b8b26ff90a87 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.428057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.428057Z digest=sha256:336a35de9263ed6bb8d2f546bf4564614474f2f14b9e38cd97282cf620162345

Observation 224d07fd-ec55-4421-a1eb-bf7512066d1d · outbound

This paper cites Mixture of Soft Prompts for Controllable Data Generation.

Few-shot LLM Synthetic Data with Distribution Matching Mixture of Soft Prompts for Controllable Data Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.431814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.431814Z digest=sha256:f8c1881a84eebe495914db8cc2ba531aaede05fbcaa7532f45c30b3452722abb

Observation e9ba704f-c5df-45dd-a14d-f06ae48b726f · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.436892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.436892Z digest=sha256:3085409079570ce08186c3955358d5c11627fe57b2dde3c617daed4623515200

Observation 88159421-0bf8-4502-80ea-6549102d2785 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.440325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.440325Z digest=sha256:430fea363e7c0ace442b1c83ea299daaae77c2cc53446695e2b0a28669628b4b

Observation e548400e-d0f6-4c93-bd22-67b491837c69 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.444115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.444115Z digest=sha256:17029758386911384407251add2541e99e9f4ebc255108a9f3e9267ced58b45f

Observation 693f3150-e648-4b81-9d53-8e1816fd138e · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.253111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.447196Z digest=sha256:d89c01849e10b66bee423ec2f9ff3cc662fc048408f45d42a1e637115694fa3d

Observation 31c99765-a930-4063-990f-ad2164f76d9e · outbound

This paper cites Long-Tailed Question Answering in an Open World.

Few-shot LLM Synthetic Data with Distribution Matching Long-Tailed Question Answering in an Open World

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:20:36.909701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.450260Z digest=sha256:2ade1064eae1b24e98f439ae5b339eb71aebdf61a1d4aaca1fdee520e6e0cdd8

Observation 7f70bd21-4022-46af-8bc1-f0266cfca43f · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.242199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.453994Z digest=sha256:2f03e1cb3f6ea37d2f3d6b39cad66e00ed8fb6ee89714b2746bf0684b1aa7bff

Observation 919510c6-84f1-40c9-b2eb-7569d5466c6e · outbound

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

Few-shot LLM Synthetic Data with Distribution Matching BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 11

Resolution
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no resolver link, observed 2026-08-08T17:20:36.457155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.457155Z digest=sha256:a0bab62f10b1ba28dd5c693de7bb9ca40505b8367365e3d0a57373ede42457f1

Observation 701168bb-7e77-4ac0-a82a-6396afc81cac · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.460958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.460958Z digest=sha256:73b5adc61dd6d7824ad2a6c1dcd459ff40d1fd79212d6fa1dec84526a7c35415

Observation b3f63e54-f7ba-496e-9b02-ad3dc448738c · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.224685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.464341Z digest=sha256:b79b78944583fe15c81ffbbbcfa79b76ec1c7c358b5799503ced9d4755616083

Observation 818b2be7-4a71-44a4-9527-7bdf3a5b2ca1 · outbound

This paper cites TinyStories: How Small Can Language Models Be and Still Speak Coherent English?.

Few-shot LLM Synthetic Data with Distribution Matching TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.467591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.467591Z digest=sha256:fbfe34b340cbaf3e220d7398744be175c79db7717d0a0c9de3ac301d54c86e88

Observation 9580a686-a2c4-44f4-9305-53776e878f91 · outbound

This paper cites GenAug: Data Augmentation for Finetuning Text Generators.

Few-shot LLM Synthetic Data with Distribution Matching GenAug: Data Augmentation for Finetuning Text Generators

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.471319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.471319Z digest=sha256:826bab8a3bc001661c50af01d08cad1168efc088f6f0be8e09e28cee71452d2e

Observation 191e0662-b20c-4082-8006-44ed4a976954 · outbound

This paper cites SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.

Few-shot LLM Synthetic Data with Distribution Matching SampleLLM: Optimizing Tabular Data Synthesis in Recommendations

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.474699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.474699Z digest=sha256:fda912955a9d77eeca61bb47570fee318d32d909e168918fbc5e56dbd9508bcf

Observation 69ff358c-c0ed-411b-8227-8e09868ec054 · outbound

This paper cites Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

Few-shot LLM Synthetic Data with Distribution Matching Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.478212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.478212Z digest=sha256:c5be77c3c18386089d5deb72a58fdb2b880113139d21983b8c97e52368232488

Observation a3130615-2c11-4f63-afa7-c1e99b7243ab · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.214322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.481571Z digest=sha256:bf21a36a65d3c930a1261ca80334d5bc02b672a6cee754d34551e5129ffa8409

Observation 385c93a1-ff1c-4459-a943-9c9194e16550 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.485230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.485230Z digest=sha256:53d9a5a5b57cfaec1f94182611450442facd4513e55182b233b3afd588a8a2a8

Observation 21996ee0-8b35-4367-9c72-b43b064f9b8e · outbound

This paper cites AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators.

Few-shot LLM Synthetic Data with Distribution Matching AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.489505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.489505Z digest=sha256:94656931c884e03325a69920e8dd3f32f11adf0f1b2a9f94e9cbcfc716b22bff

Observation bff466ca-c429-4676-b329-46d3cc6f4440 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Few-shot LLM Synthetic Data with Distribution Matching Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.492909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.492909Z digest=sha256:16803ab6d97574b9a43f83ef5cef730ca68d56e445273923b911fe5b310ea019

Observation a989062f-bd0d-4f5f-a4c9-0975edc99d55 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.197737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.496555Z digest=sha256:5c928b68a3fa3c5a5205e5536a78e93dc1331d3e76fda1401e45ae88bafd902a

Observation 697afddc-9e6d-4cf7-a9d6-1ffbc098666f · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 23

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unresolved
no resolver link, observed 2026-08-08T17:20:36.499525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.499525Z digest=sha256:60163f1a3918ad7ec34134c4f94db8608b268ef87b2e912f6c3f5177eb73137e

Observation cd096cb3-7b30-4903-81ba-75f4900489f3 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.503007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.503007Z digest=sha256:07c4d823fc3c9bf519d6895397c06a24db9ff58daaa4c02c4c7bebc77cdebdbb

Observation 598c3ec0-6958-41bb-9a23-cd22076e9fe3 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.174881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.506190Z digest=sha256:fa6303e5f9988b8a0ef8008ae3be52f97be081811cd60c985de55ec9901b3e12

Observation 22ca6f2e-9847-457e-a48c-c74e7cf1efc0 · outbound

This paper cites CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation.

Few-shot LLM Synthetic Data with Distribution Matching CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

Reference 26

Resolution
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no resolver link, observed 2026-08-08T17:20:36.509800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.509800Z digest=sha256:4e9d84ff328c2c809e98ee98913ff66745c5ea255edfc44ac908d410159d9f54

Observation 38398225-b331-47e4-9176-0d770e9117c0 · outbound

This paper cites Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.

Few-shot LLM Synthetic Data with Distribution Matching Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.513361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.513361Z digest=sha256:d01d48ab1d200e4c17e46fc2f09033c40c6a0f21fe2174c382cb8cc8ec50eb0f

Observation cf93a94e-920c-4997-b2f5-7d0465919641 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.163984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.516945Z digest=sha256:4f74adf93c94e53bbd6956fb18a97ad38d0bf753dcbb35045c1850845017c083

Observation f6c3afb6-5661-4ef6-9c40-b6966b13cfa6 · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

Few-shot LLM Synthetic Data with Distribution Matching On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.520045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.520045Z digest=sha256:963d71b1c0728209edc61d3c879ccc55f94612e85b10a388a49ff596010c4bb6

Observation 7af8c05a-cc12-4faa-9ac5-76b0cd6908b3 · outbound

This paper cites A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.

Few-shot LLM Synthetic Data with Distribution Matching A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:20:36.795035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.523403Z digest=sha256:b9b6756cc408edc1f66350239c4cfc6de13011cea5846625614e4f2c5aec1336

Observation 8df18b66-14b4-460b-99c9-7fa2ad037ad2 · outbound

This paper cites Abdelzaher, and Jiawei Han.

Few-shot LLM Synthetic Data with Distribution Matching Abdelzaher, and Jiawei Han

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:20:37.152704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.526656Z digest=sha256:53b46b3b55b0f8ddda48a6bbe591daa90d9dc0fb113fe1857561215f94872630

Observation 145b83dd-22bc-44c8-8d25-c316c5cca666 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.529841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.529841Z digest=sha256:f5889b702fbfb3f996745f3984b4fc0b86525d7621f7cf35f57d045bfa613817

Observation cbbeead1-a08e-4801-b0c2-a1860e57fcee · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.135412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.533078Z digest=sha256:60a739f12984b9e94e0586819f86fb619861044f6cd6574fc36f92f73c94efc1

Observation 2b4aeaf1-4bd9-4e8d-8ddc-1b6cb18d952f · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.536677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.536677Z digest=sha256:9dcc91c2321027c2591f025f57388c98ec08f26b4c8bca329e936385ae7acb5c

Observation ba314074-bdca-4a63-90e5-6a88b16ba3da · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.539602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.539602Z digest=sha256:d1bff908617b223318ebbdc4d882b3e0d1d9db05b09f89403122eb0a13e92dbc

Observation c248cbc7-d008-473a-9685-06de5999d595 · outbound

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

Few-shot LLM Synthetic Data with Distribution Matching Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.542570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.542570Z digest=sha256:d06445b3860c864e4202984bfe2fdfe30b1a3b1c5b748f3c2db735ea6e2bff90

Observation 09bcf630-8033-4989-87fe-52f7ddf51e00 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Few-shot LLM Synthetic Data with Distribution Matching DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.549551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.549551Z digest=sha256:df5bcc0cb3f0baa08857766cde6ea4e3e0334e41baec2b7e6c27b583fb349395

Observation 7b43305f-c75f-41b5-89ed-1fb6f2565f4b · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.552709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.552709Z digest=sha256:51cda6d0226177a67437200675dd6dad0ceed48e384d99cf1d3c004f2c4e721d

Observation 378a8de8-a520-4a27-a05d-8e2dc3f8ace6 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.106083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.560068Z digest=sha256:66ada391215da41339686b43a56f59a992ca74a19ccce6359d42b96f4903b768

Observation b2a44e80-69c3-4185-9867-f69531a7f9ea · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.563490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.563490Z digest=sha256:c1983bf757044ebb6ba6eeac4788214dc92f89bb399778a2dd165f4fbcaba238

Observation 997f3358-73eb-4d70-b912-2f4cd39878d8 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.089103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.566827Z digest=sha256:7e66ead8d86d4557ecdfb378887b1d99997dc28aa35d95adc852bcd1bc8b8410

Observation 7548c40a-639f-478e-955a-248b3b9be5c5 · outbound

This paper cites On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation.

Few-shot LLM Synthetic Data with Distribution Matching On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.570439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.570439Z digest=sha256:c73c0f0b591690acfa36ec46f9dac0c96ec493f4de46cef4c50ca042c8c65b79

Observation a125de7b-973e-428d-ba40-dc779b894dd6 · outbound

This paper cites Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models.

Few-shot LLM Synthetic Data with Distribution Matching Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:20:36.744054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.574352Z digest=sha256:4dee3bb6ee9f93b68bdbbc511db438376be2b55f95559c478657341a371c70d1

Observation 184f26ab-7f35-4e8c-8592-078d216bda92 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.578104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.578104Z digest=sha256:eea8f4f135e4278b7ec5879c3c7fccba8eb5b127f6f37ca9d57a20317b2c5681

Observation 6c1805c0-e8bc-4475-9ad3-29d9fe483fa1 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.581486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.581486Z digest=sha256:187226c2111fd234e22307a60097468dec04b70bb11045223f357922dc4019c3

Observation bd68134c-86eb-4aee-8395-6b40cf1898e0 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.066908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.584912Z digest=sha256:9b8a7896ead89f747212a70a82d05dbc7b0681e12143aade32eae326b6074e1c

Observation d72fb42b-1c9c-4c97-b2e5-f1c35fb31fcc · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.057869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.588459Z digest=sha256:490127979dfb9649f31c3f9c815e02a5f7bfe0b71fdf5f08e205517fe91f0feb

Observation cb0278cd-35f1-452c-b59e-f711ef0ab412 · outbound

This paper cites FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.

Few-shot LLM Synthetic Data with Distribution Matching FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:20:36.730731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.592389Z digest=sha256:f33d4cd9078c98a1b133811adfe5836bddc6c81c896fbe721e058f5dac0fdad4

Observation 919baf85-578a-4911-9394-13c6d0d20dfb · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.048610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.596620Z digest=sha256:079a4bd7509b58b8204f458d0fe0331d49f8a6355f597aa19684a2980d395791

Observation a21a238e-6d1a-4457-82bc-5934aa761faa · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.038732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.604658Z digest=sha256:53eca2934f958f0c4a221e18a736398985b6eb83a78c4fc6dd1bceffb199b66a

Observation 3c0f3e25-9dc7-4d59-98d4-6166554dcfc8 · outbound

This paper cites Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.

Few-shot LLM Synthetic Data with Distribution Matching Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.612382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.612382Z digest=sha256:2cd93febed5d7487407227aae1a79113edb524860a1ea5f228433d498de8c509

Observation 20fe0506-ce66-4cbc-a896-7bb76470d416 · outbound

This paper cites ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.

Few-shot LLM Synthetic Data with Distribution Matching ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.600536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.600536Z digest=sha256:d67493ae787829f7ff01c9a667714d6d8f111ce5961506442fe4dafad3f1dd40

Observation 9728d383-1e56-4e72-ba0e-0e1abda871b5 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.017205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.620370Z digest=sha256:e6ca6101d633215b7946d9d5eb797e40d85bbee6155ded5ad8aa19fd15fedcb8

Observation bc36777e-281b-44f9-b720-679dabf35534 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:37.006394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.624384Z digest=sha256:f7eb4c781af0dab242049f6344799fe88b0e25b918420ce29fc4817096b168d5

Observation 4d68e9de-e1a1-4269-af6a-b7720d2861b7 · outbound

This paper cites Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.

Few-shot LLM Synthetic Data with Distribution Matching Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-08T17:20:36.687057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.628288Z digest=sha256:ed49e103df9f17738fab90b0a63ec4c1e800dd882adee72f68193aa3645e375b

Observation bdfa9add-30c5-4240-9026-29545a5ed815 · outbound

This paper cites ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.

Few-shot LLM Synthetic Data with Distribution Matching ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.616249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.616249Z digest=sha256:07eeb724b740b1f621f66c041f14af80871904fb65e179cf3c45577b34c6513c

Observation dcec66f4-e1d6-47da-99f6-969d0e00efda · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:36.995505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.632750Z digest=sha256:03ce78a7733119acde46546ec73af18547eb36d2caafc8944d697ac75c9e2d01

Observation 0f27d676-d648-4d46-8605-dc3939e75d39 · outbound

This paper cites Now, begin summarizing: Figure 6: Prompt used in Stage 1 (Attribute Summarization).

Few-shot LLM Synthetic Data with Distribution Matching Now, begin summarizing: Figure 6: Prompt used in Stage 1 (Attribute Summarization)

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:20:36.984224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.636687Z digest=sha256:90aa722a81659a872493d04a25a96e1ca728a8e599b13bfa3e2ebd83573e813a

Observation 3daf6686-c31a-465e-a16e-a6c9e37c2df2 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:36.972977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.640438Z digest=sha256:4979ba116ff1b22b2dc335e04cb0ec0d24d1bc59ae01143b3ae549f0bc99b499

Observation 28be41ea-cd33-45f2-b246-d5ad4ae2c45f · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:36.962294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.643941Z digest=sha256:3915169a4907997e63b6432a96a38090e218db6aaa4baea3cfe7c6cc1ea0f2fe

Observation 6cb3abc2-3bf0-49b4-8bab-ef04071c6868 · outbound

This paper cites an unresolved cited work.

Few-shot LLM Synthetic Data with Distribution Matching Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-08T17:20:36.951897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.647629Z digest=sha256:a98d7fcde28943e6bfe1660a0a7b368a03acb16e68936c7fa610ebdbc3a3a0b8

Observation 156f72bc-a3c3-4257-b20b-851cf3d08340 · outbound

This paper cites Now, begin summarizing: Figure 7: Prompt used in Stage 2 (Synthetic Data Generation).

Few-shot LLM Synthetic Data with Distribution Matching Now, begin summarizing: Figure 7: Prompt used in Stage 2 (Synthetic Data Generation)

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:20:36.940192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.651160Z digest=sha256:b7a900686188ee00e53fe647fdc7bec28e283308580db790940821571c396f03

Observation 0fff48ff-7c7b-460e-8a67-3a9d9e29fbc4 · outbound

This paper cites In Conference on Empirical Methods in Natural Language Processing.

Few-shot LLM Synthetic Data with Distribution Matching In Conference on Empirical Methods in Natural Language Processing

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T17:20:37.027981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T17:20:36.608550Z digest=sha256:54a987aa66cc0044ea833977c1f45e15e77b4b90ce5f78c4946d89a63fdfdf40

Observation 0ecacb90-f9a7-44ac-8a9d-b3933b022e6e · outbound

This paper cites Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation.

Few-shot LLM Synthetic Data with Distribution Matching Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.419789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.419789Z digest=sha256:5ad06a7a30acb6aa47815824055bc4714ed97987e4b054f1e9406efe731fb099

Observation e7bff499-f9ba-4a78-a01e-362098c6dc00 · outbound

This paper cites Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes.

Few-shot LLM Synthetic Data with Distribution Matching Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-08T17:20:36.556267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:20:36.556267Z digest=sha256:6dc575847832493db42805920f6a4c2de1e3ffc4fe121f3bb3cfcbb200fdb70d

Pith citing papers

Observation a95febf7-cb5f-4ece-abab-2aae9f6c3dbd · inbound

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction cites this paper.

Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction Few-shot LLM Synthetic Data with Distribution Matching

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T20:26:40.199715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:26:40.199715Z digest=sha256:c2e1a1d755be9fe8c2fa7c1097c9198b7a2e6aa3312b0ac79a163ccff6bb23bf