Pith. sign in

Paper Citation Record · LEDGER

Few-shot LLM Synthetic Data with Distribution Matching

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.415598Z digest=sha256:6df430199d850df0e3ba653aba4c3ca30924d032d262d918ea26aa508e359d1f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.424586Z digest=sha256:44c9d76456a4bfc62638de49d02a1fbef42169540203f8d2e35dd2c7ef8726de

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:ac7911d92e8d4e2f9ce09a20b5f4449ab712a2bb48a8c49e578c0e010b1bba37

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:cc6fc3087f60287b051b44656003856df224c087d0aed1b972d3aebe39498dcd

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:e17bd7d371d464eda5297ce3ea803470c405338b78a221efb465b87f04387bcf

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:bb541d1a616409e3ab22cd7a7a23c5ef718ab1398f0c9579d2f5ffcd5a6a52fb

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=sha256:76b7114992811bce6c7e4b90173f130e3d5a3ca930de4e6248cb33a6a963fd10

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.447196Z digest=sha256:6568404ca8ee74ae13a3ae274eb05bdf1705a9aad8c9f9bb4c6e80ae04fbc3d2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.450260Z digest=sha256:f16e897d7b397b548726c3076214d5268c38a9ff11343cb7eb04027b5b45d333

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.453994Z digest=sha256:19d61efce247ff6225c97d530537747876178a3d42869c3aa80f4b5f9f6f8df6

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
unresolved
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=sha256:93911b3ee3aa58c66695cfc8b56c5118b0a8a06670288ce64b93961c1cc5aad8

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=sha256:6805e72caac70f2cd7bc0986cbeadbe57041a75b957b1047fcb5de55c1ea6d39

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.464341Z digest=sha256:f0a3f2aff075c002193606267f10f2734143422933ceea74459960eb6353dc03

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=sha256:6904de687ed15cea0d4ec3ebb78d03f56e9e237cd345b52ebc8a9cf0a1191493

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=sha256:6bcb9ae2805d2ff1ea6f31114117e5b34a76846148c15895a0ae97a77dfd76f8

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:ceb6b8b4666bc20749372e55fb07a1e5dc062b3ff394f683c19da3e69de9231b

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=sha256:1ca6fd72a3ad397401a615edba8e1a9c8bd9491e01446802478e0e3540390213

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.481571Z digest=sha256:e91eccb74d477032b43c505f7b2afc540951ad8f9175f7aa9bd366409babcdb0

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:dd248424523789c3a7fb8716582ae3c5f3396b5e09398297a069d2ea51a9b3ba

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:e3484ace89adf64a41ac6aeddded63ad1cf51250d2d425d5a9f65d2320ef9dd2

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=sha256:5b38022caa1f3f25049230e355feaeb0f1bb41434fa157eda6be073ed6bdd6af

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.496555Z digest=sha256:9db628ba61186b98bab0ea11ef4f5428c2a3a9f2393c7f6a9af878058e5dc275

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

Resolution
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=sha256:1625290be4d9bcd932e6b16684c06cfc3dcea5562ff2b5c3f26e4612e992442a

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=sha256:1dbda0f71dc78b07ddbb5bf372d7947e93b331f09bbb86c7b73eafefee008a80

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.506190Z digest=sha256:88a10026af22feb1bac3de3fe93b75a328c11ba69a30eda9d9d10cfdfb103a58

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
unresolved
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=sha256:0c2d4aa70ad3d2e5cd7f8cf872691067c923ac9ac214722c17495715866bd6fa

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=sha256:72f6fe7e105e9e428f49a33b452046540cb2e3d173cb0a1ddccda38f562192c5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.516945Z digest=sha256:6a000ce25f842f016915beaed048d49ae49c2027039d6f29b8eb0929a06af4bd

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=sha256:7dc46fb3fb8776d6e99501171fb8d845044acb55cdff60b0e818598198739059

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.523403Z digest=sha256:aca60f8803fce23f9d9b5d645f81e8b588f09e8a1d2dad56971d625a19dc245c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.526656Z digest=sha256:37b397be2c0f6692cad7bf30fe515caa4c5ff8a2882fff9d5b5688e6e3fa6089

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=sha256:90fa065ef86ddb3941435558cc5e9ab8bfd3e1c99c747badc28eb9c4bc28996b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.533078Z digest=sha256:086913bc7499c58694e99e449008f71c2cdd139608e8fb85f162e0694e32b872

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=sha256:1f8d0a353c146420130f21e8ff3a4a2b3197fab8b76371b0dd81dbacce95694f

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:a4cdad6dea98eb355e263d15c5d6c5390f74dab02627a4b4f0c982ddb50d2480

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:cf52ff549348e19c5862ab98aa4e9057cd29d17b335b48040db0a5034bce9713

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:b82c8e63d6122bc66750950b6470277cd6d3b5b6633e02d06860504d1248bd78

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=sha256:7032dda27ffd437b0e0bda585c6c6e3d68c9b5b8ef6538d5553c1019325129c9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.560068Z digest=sha256:ab3f445c316f751ce164c9538c6fff8f851673257f280a75c7713fe72565fb38

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=sha256:97cba98003c3c7c023ac2a941a880258c89e84ded298e0d7565b5a8d6eee0328

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.566827Z digest=sha256:8885e0971fdcaef73c812399dea8dd1dca8302ac1b9d3bd381647fae4f0197a8

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=sha256:0c921f340d9e2d773bed0d921f674f1b27e58f1ac7111ef0f5c94d71a78ef16b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.574352Z digest=sha256:c1ccbb5e6a7ef27be3f4bc891e18a3dd3efb3355820e726e69bd2216af6f33e0

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:ac605c27a604f510b35db938d8047a5f378ef8ed2303528938becdb3a8cfe946

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=sha256:95be8eb67e13af5447ef8714100cdb1e33a6e90f215a957902a987949992c837

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.584912Z digest=sha256:25cb515fcac15da5ab93e470d64af500ddf40a031df8a0d3f6c95ff0581c4084

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.588459Z digest=sha256:ac62f6a22c83192f4edbf6e667196de2b4e882952de1cd6f8ca3c95f5ef8a404

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.592389Z digest=sha256:84261f08181695d5f2fe94b5016d1548e4ea7783329284f5a50a45801104a1e0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.596620Z digest=sha256:5512dd9749ad612bcf7957c95838632c34e4cfed36209e5919b4b766282aafc6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.604658Z digest=sha256:1af1f4bb15ee8f4cebb7c24c5b45f3ac8388e05ebfabb709651993d45137326b

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:df0ed3264c8c2ca129a9507cd6cf616323c295418e88d203168ec4c78a50507c

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:b58e9ad88c64cb31b0bb530e387738972f27c0794bfc3f7b9d71a90cc3144758

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.620370Z digest=sha256:783467242917da710d59a0c8b1e10409fa037e2661db997e8c13d194d36676d5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.624384Z digest=sha256:8664620b13dd7a85f2a18b907b862f3c51853f6c4a74d1f1bd78e1cda0450020

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.628288Z digest=sha256:765e6a333ece26a0bc75df497ff9a841927570620622b15aa2f63023779238e2

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=sha256:88d7f55d56548756c319bbfa44d830e9f986b875b93025f4829a706d80286e02

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.632750Z digest=sha256:9559faddd6b38b9b290a4afa5ae1e38db5ce77e8788e037821453ff159e1360a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.636687Z digest=sha256:7376064a46a2e20cca84c8a456360bb7192e89f36e53866cd9b75320501d202b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.640438Z digest=sha256:c1e80c978c9df12c5550e6346a2ee1db13e9410f8a66ab48fde08120b2b09aea

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.643941Z digest=sha256:fcabcfe9e3b3791d5f1b9d06a2b57180f3278c16c2e252c0584252e0fe309dd8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.647629Z digest=sha256:c712e21ea4941e33aebd703b91e2a42016bf761daf7bfecd40fdfa5bf4ecfcab

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.651160Z digest=sha256:f65ec230a2870b3400c7dbb18bde73e059dac72b70c18c166dc3452e4f63a3b0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T17:20:36.608550Z digest=sha256:59d72b23e896ce85713492d15479000f2abed548d3d75c92429a5a78e6c6a2a0

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=sha256:9e126ba77c40197bbacf1688bc7775e1eba4b63b17527d0b4a353b342d46dd73

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=sha256:9eaf0987bc91e097765787673bd093b83ff73d98acad7aafcdb4fbdb90a31a04

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=sha256:39bc171911038716076a287c0b36ad0ae0b9a1c849d9dd8441a4d993a473d6d4