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Paper Citation Record · LEDGER

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study

As of 14 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2502.02028.

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

pith.paper-citation-record.v1
2502.02028 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:41:12.694667Z

measured 28 of 28 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 2026-08-05T18:22:13.537522Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:22:13.564607Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4ccb72ec-5abe-4c94-bf81-066a8125eed6 · outbound

This paper cites online" 'onlinestring :=.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.563659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.563659Z digest=sha256:506d7afa804f5ea0449dc43754c22fb6c7bd07492452e4db508e93f37aa6a37d

Observation c9e9eb73-9adb-4f9a-b7be-88559f7017d5 · outbound

This paper cites write newline.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.569435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.569435Z digest=sha256:8ba7ae2a1b470993b2fbd520716f27afa0abfc822e500b59333e864be11b4c9e

Observation 68cbcec2-3cbd-4ad6-aa47-aa60b84ae2e3 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.488128Z

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=arxiv_source observed=2026-08-09T13:41:12.574416Z digest=sha256:af9ca583915247d992af6ce6452bed26c1b09d1e22ad2243be3abf38bb763d5b

Observation 754085a0-ceac-4a56-b562-f548a76b67b9 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Neural Machine Translation by Jointly Learning to Align and Translate

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.579357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.579357Z digest=sha256:3863d7a7026d2a0619a48439f7068f4d860ccbc61d6e4fabde6dfa7d9fbce121

Observation e839e0d6-4d5b-463c-8a5b-fccee0b2c78b · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 5

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:41:13.286636Z

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=arxiv_source observed=2026-08-09T13:41:12.585331Z digest=sha256:7ddb65dad79fd9eb295eb93fc1b62e4cc47d6d2c3672258fdcd7003575736cee

Observation 4fbddd7c-5a30-4bac-b67c-2d3ee27fbe7a · outbound

This paper cites FIRE: Food Image to REcipe generation.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study FIRE: Food Image to REcipe generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.590302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.590302Z digest=sha256:ae30a14cfc0b43aebb882a41cf91ba2fda6d4838399113c2da31b107db02b10c

Observation e707b229-0274-410b-b3f7-6771839898a6 · outbound

This paper cites NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study NutrifyAI: An AI-Powered System for Real-Time Food Detection, Nutritional Analysis, and Personalized Meal Recommendations

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:41:13.083571Z

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=arxiv_source observed=2026-08-09T13:41:12.595508Z digest=sha256:6d332abd6c54d3c515e1f5b80d5f9de1193ab0d33d90cbbf84326570673c028e

Observation 4397530e-9c07-4547-b4c8-eb43bc53c2dd · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.471079Z

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=arxiv_source observed=2026-08-09T13:41:12.600873Z digest=sha256:6b0fe67903b8e51c04ecffd48f46d59747728ad646ef0ce02c27418e0a53d2d2

Observation 426aa2a7-bd7c-49c3-af1b-45db6a7346a8 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.606260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.606260Z digest=sha256:e8f022f7e70206f7c351e45829edc62b7f4b3ec974f0daf03506c324ae8292a1

Observation ae4a920e-fe14-4509-8c08-f3a4284aeaea · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.611064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.611064Z digest=sha256:c2c58de665d2f7e03406f8485e60cd85c2cefdaa51dbe8881f3f4a79c25b0a26

Observation 303c224f-410a-43eb-a9b5-68c344f86d5d · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.452476Z

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=arxiv_source observed=2026-08-09T13:41:12.616197Z digest=sha256:ea162bb5e40f1aaf0b73288e38f0f24eaaa6c9d0b9a0830037b72df064f8e6ba

Observation 89893737-dae7-4a06-9ac7-dbfe630449f1 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.432732Z

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=arxiv_source observed=2026-08-09T13:41:12.621295Z digest=sha256:b0e4da93034c560573d35416492e35b3fc630bfd0ffa3f8a60ecb311163fa519

Observation 13a60636-4db8-49d2-8ac2-f0913aa5ec59 · outbound

This paper cites Retrieval Augmented Recipe Generation.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Retrieval Augmented Recipe Generation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:41:13.045486Z

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=arxiv_source observed=2026-08-09T13:41:12.626026Z digest=sha256:d265525607868d90b707429db53e39b999e15c2cc543389b62e5cae9b36390d1

Observation 3d6ed49f-9c5e-4b6c-b071-dcd1a6180694 · outbound

This paper cites Plug-and-Play Recipe Generation with Content Planning.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Plug-and-Play Recipe Generation with Content Planning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T13:41:13.021176Z

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=arxiv_source observed=2026-08-09T13:41:12.631065Z digest=sha256:eda6f713b3baabc5731819dc506087ff0ecbbeafe046dce894beec431a3db3c7

Observation 9c2dc9d8-30f5-4e2a-b16d-1e3fa50ab073 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.636426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.636426Z digest=sha256:49f4f96704831ebfc8bef48e11148f3e73fa1dab260997590895bc22e6518ab2

Observation 0d49ae64-7a66-407f-92b9-d0c562c4b3fb · outbound

This paper cites Generating Personalized Recipes from Historical User Preferences.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Generating Personalized Recipes from Historical User Preferences

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.641691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.641691Z digest=sha256:c4056bb879119c200f283ea2a9c72f4ccb668c59e858fecb309c6915117d7833

Observation 93ff271f-39d4-496c-96a7-b978cc69f184 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 17

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T13:41:12.980446Z

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=arxiv_source observed=2026-08-09T13:41:12.647186Z digest=sha256:76e870c455c12616c6628e7a9344d634264f466b324acfce0695a1c15dd29b4d

Observation 044755ef-879d-43b9-8597-e1d56e6af821 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.411025Z

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=arxiv_source observed=2026-08-09T13:41:12.651860Z digest=sha256:8babdcbf8c79ec2f832e9e8bd0b178166d7b5fb61bbf220151eaa8a80b344887

Observation 2a9e0d1f-6b28-4b2f-8baf-b2b9d68e0e8c · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.656677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.656677Z digest=sha256:ab85bc8c9724b60771e7c11a46436b264cfbba261d68b7f3671462052bc1200d

Observation 6eef0b81-fc28-4986-a36c-ff06b4a95fc6 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.661851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.661851Z digest=sha256:bffbf8c49a8930c2fc8c944d68a3a99bbfd9f514282ad97640d5bfbe8be294a5

Observation 5f2d77af-2f34-45ba-a5b1-7de6bf99d870 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.666641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.666641Z digest=sha256:121a58daa57ac2630d160a8a6dbaf7813524a57b21fd586d6e086f268cdccd7e

Observation 3b1db9b5-72ee-4206-9a46-a3d59fcdef78 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.380595Z

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=arxiv_source observed=2026-08-09T13:41:12.671584Z digest=sha256:eb3e961fb0a9af8028c2112219cf63d70100ff8439061613b4d54c3939f05e0e

Observation 027ebbf2-963c-4d49-918d-f1af7012e1b2 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.364152Z

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=arxiv_source observed=2026-08-09T13:41:12.676326Z digest=sha256:3c8ab9c4be5aa1aa882528417d4a7f33ae759d1cd20c215e2c515b74aa8f655c

Observation 67951af0-fa20-4b36-a656-1c91efc94492 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-09T13:41:13.346010Z

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=arxiv_source observed=2026-08-09T13:41:12.680892Z digest=sha256:c1a4b60c6734e2594bea9004321788d27f817be2ee12e66a01688e0decdcd3ff

Observation d32ea762-92d7-4afe-8c37-6f025cee8677 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.685400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.685400Z digest=sha256:d649e957cab55bb9409d45648a236bea4382993e579e2d1ae49b74de7bb2406d

Observation f9e27a84-9eb1-426a-8440-507fcacbe585 · outbound

This paper cites an unresolved cited work.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.690051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.690051Z digest=sha256:61d6015fedb2d6ad0a32b66490ecb1026401e479d608c8434f9e917f4cc3cc76

Observation 202726de-e83e-4c56-8c35-1039d5f863f2 · outbound

This paper cites Qwen2 Technical Report.

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study Qwen2 Technical Report

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-09T13:41:12.694667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:41:12.694667Z digest=sha256:0d45a59817699cf747e043869a5f1a7574f9381d5cf3be174ac065604aa46365

Pith citing papers

Observation d3800d94-07da-4c9d-ac37-3bd2af10b29a · inbound

The Digital Sous Chef -- A Comparative Study on Fine-Tuning Language Models for Recipe Generation cites this paper.

The Digital Sous Chef -- A Comparative Study on Fine-Tuning Language Models for Recipe Generation Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study

Reference 6008

Resolution
verified exact
local_arxiv, observed 2026-08-05T18:22:13.569692Z

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=2026-08-05T18:22:13.537522Z digest=sha256:5518d54fe41e31f7ef99765ed4bd25b72598507c5c88e52e86ab311f89022147