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Paper Citation Record · LEDGER

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models

As of 13 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2605.01256.

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

pith.paper-citation-record.v1
2605.01256 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T15:12:31.059541Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact6
  • verified fuzzy38
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d70a2e3-a25e-4cab-b9a1-4e63c47976ad · outbound

This paper cites Aho and Jeffrey D.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Aho and Jeffrey D

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.691841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:b0f9406213285fc55a10db49866e300420c3f62992d3551b1259780659e7e2bc

Observation c3984489-f1ee-42bf-9bf7-721a168cd846 · outbound

This paper cites an unresolved cited work.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-26T01:26:27.722970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:dee4f8c32a189bfb41fb53bcd09512634cf0e28eae6a67ce6c6ab0e0ea93cbeb

Observation 4bf67e12-eefc-4f1c-93bf-d8bb4428b512 · outbound

This paper cites Chandra and Dexter C.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Chandra and Dexter C

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:13:57.460148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:9e657fa5b6d2d546a055ef28674b9469b6cc850b91e33052ed846f5084146a48

Observation f1c78cd8-b729-4106-8bde-240a96785436 · outbound

This paper cites Scalable training of.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Scalable training of

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.719617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:00b2cefdddabf8a411fbe473ecea8718429e878b73a66a675b5aab3648bbd5ef

Observation 16838fc9-5bcb-4a67-a671-90dd3902efda · outbound

This paper cites an unresolved cited work.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-26T01:26:27.714410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:161bd878a0e83697c7d2e5b254eb9e76c04b318ace8f1e14367e38ceabbcad73

Observation 21eb7feb-96df-43fa-b2bb-7e6eb5434512 · outbound

This paper cites Tetreault , title =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Tetreault , title =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.716941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:0b1ea2d0c7f4a517571c40fb19a9fa70683f1aba6e9a1e85d0c30c3a85e762fa

Observation 7b9e5f28-da49-499d-b1dc-427ab6813e92 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.666280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:868dc4d34d5ec0e4bdae4832f2eb34ef5a9ec4a724818609f6589c0ac3a8038b

Observation 58eade77-e8a1-40df-aa7c-f01a9531c1d8 · outbound

This paper cites 2024 , url =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2024 , url =

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.651769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:5ac44317899ad0519077541442780c458b6675da1287c09edc4082bdcc62df3e

Observation 0a728f47-c3bd-4c73-b56a-c5b7f6f79a81 · outbound

This paper cites Qwen2.5: A Party of Foundation Models , url =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Qwen2.5: A Party of Foundation Models , url =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.654619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:19dffeb7accbaa9e5f3b2610284fd01f60d0ae577577deb8895654c623b564eb

Observation 2dfaf3a9-9ff5-4ddc-b983-33b569f4a39e · outbound

This paper cites 2025 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , eprint=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.671077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:ab5c34820063ed45f1605b0e022f3dc7f1d41e165fe9439cd27bddd53d350f8c

Observation c27e65f3-9d4f-4c5d-ad36-33971ec4ea3a · outbound

This paper cites Efficient Model Development through Fine-tuning Transfer.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Efficient Model Development through Fine-tuning Transfer

Reference 11

Resolution
verified exact
doi, observed 2026-05-09T22:13:57.449493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:b60522d6f0a00743c6cbbf8ff45c9dc8540e7e9840be4ba34b1a88937b748554

Observation 27e5fe1e-b2e9-4c5a-ae72-d4bbcc0d10e6 · outbound

This paper cites an unresolved cited work.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-26T01:26:27.668870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:50ba7745b584c3ff83da3bc191be174ceb96ed82c41c4999503c002e8619ca4f

Observation c868a32e-2fb5-4bfc-b89a-7df7c9047ac9 · outbound

This paper cites 2024 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2024 , eprint=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.648692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:636b44aa6afc7fac58dc3669e2e63606799fb9ad8aca39f8c41285bf40b47631

Observation b54dedfd-9453-4a54-9c61-8adf18441936 · outbound

This paper cites 2025 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , eprint=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.656928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:470c911e4ab89c15a9ac01901536444b6f2e290150697bcbdc71b9300ee69dcf

Observation 9021decd-07c7-4c3d-a345-1e3536f5da0d · outbound

This paper cites Chat vector: A simple approach to equip LLM s with instruction following and model alignment in new languages.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Chat vector: A simple approach to equip LLM s with instruction following and model alignment in new languages

Reference 15

Resolution
verified exact
doi, observed 2026-05-09T22:13:57.446474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:42cf23ebf0612936e5ca3f0b42edeb075f5f389b9396b65dcbf664e5c086a904

Observation 34cd5a4b-d72e-4817-a964-c7d773019c58 · outbound

This paper cites Journal of Machine Learning Research , volume=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Journal of Machine Learning Research , volume=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.660500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:18bcc8d3bc5eb3a36178ce11053d0ff467f531bcefd610c64eab30c0ee5e8d8e

Observation aa3eaa84-94ac-4a25-840e-d01e3faf052e · outbound

This paper cites GPT-4 Technical Report.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models GPT-4 Technical Report

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:46:05.455132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:57c90d2013a9945468124d34f46c9f73085b76dfc92706009c137d41ec464112

Observation cb13b723-865e-479e-ab61-cfad1d764d1d · outbound

This paper cites Advances in neural information processing systems , volume=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Advances in neural information processing systems , volume=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.685966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:c3c776de2092eefd76cd022cbaff2d2d77e4e86eae2d383139c4e0003d135182

Observation 935ac984-e18c-4a9b-a8e2-a3c1c0fb8ae1 · outbound

This paper cites 2019 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2019 , eprint=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.689204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:23ea8d15a28d2589de4698ae156eee40c6560d2de2eb050ca337f4003a78df20

Observation cc368565-474f-421e-99ab-287d0602d936 · outbound

This paper cites 2022 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2022 , eprint=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.639526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:71998b6d77341fe65e2b5419488e9c590bdedb97fea516cd7ec586bf82a8bf00

Observation 9ab79f2b-44ba-4835-8fd7-beeacf7a44de · outbound

This paper cites 2023 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2023 , eprint=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.645511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:09406ed306478531a7e22ab9ca94c07ccf2cd0c866f029bfc7dab9825e2a1f3c

Observation 1486d21b-5b20-4287-94fc-941a113c7e90 · outbound

This paper cites 2024 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2024 , eprint=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.725496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:763489a0258e1e6c3bd88ca9fa8c3a8e3b86aaf265b2987cfb2fee03150da1b9

Observation 780ebd2c-603e-4f5c-8bdc-fb3243fd9a9a · outbound

This paper cites Hugging Face repository , howpublished =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Hugging Face repository , howpublished =

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.633520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:b280abb222506fdb2d2bc99144931993c18e4ccacc482bf6a04d3819887b95ca

Observation 8dca38dc-db27-4917-9d21-e60b63f9931d · outbound

This paper cites Measuring Mathematical Problem Solving With the.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Measuring Mathematical Problem Solving With the

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.711659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:30fec2b3116125cd1d1976673898758c0318f4cf787d6bc5ff1adc1d6d2711fc

Observation 5ef81b32-352e-4377-82ba-74958f6707db · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.631294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:9f23004f3043166b4fc0b9ed69955d7ba625a6dfeb54831db4f5b437cc5e21ab

Observation 15710af9-a958-4d9e-86d2-bc5d30e4973b · outbound

This paper cites Advances in neural information processing systems , volume=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Advances in neural information processing systems , volume=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.636582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:22da195a8cf689ffd36e6abb4ef57e1c42c85cbc1b9ea823462e4c2579579397

Observation b7eb5c77-3805-4740-ad0b-2006111df3a9 · outbound

This paper cites Mathematical Association of America , year=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Mathematical Association of America , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.642467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:80abad18dac21a901dbf83bedefa50e003d5799824a4c9fd0e232155bf66be0e

Observation d6ce46fc-0f5c-4616-a2ec-50ac791ddbe3 · outbound

This paper cites American Mathematics Competitions , year=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models American Mathematics Competitions , year=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.663750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:740600b0a7ae9cde11b535aef01a3c6eccb0ae6a5fedb7bb713f1bf5dac5a4f7

Observation 460b09c6-4283-4562-bdb6-703dae9ea774 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Measuring Massive Multitask Language Understanding

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:46:05.479473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:5d06dd47b1b5018af8064defedd31ebd6f8e055a773e0d6c7d9d968e80e3bdc5

Observation d7f3eeac-d1d8-4103-bfdf-fe2f11215d1b · outbound

This paper cites 2025 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , eprint=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.622668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:d335060509ea6bfcd788f99a37efa5e4eded35fd092a30b433332110a044ac42

Observation 55c56ebe-6884-4ee5-89fc-932a1da0be70 · outbound

This paper cites 2024 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2024 , eprint=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.624950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:f724135b55fd467e249380b1e6039eb4fa574b3d630bc9b66e68c742aed0bcc6

Observation b82ccd07-f4ae-4c1d-a96d-e5bc4650da0c · outbound

This paper cites 2025 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , eprint=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.627108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:5d39a04902e4d699f32e98c76da873586bcdc050e054752cc511ce9a915b4847

Observation 6904161d-6e7c-4d10-b0ca-ff5ef54a4a88 · outbound

This paper cites 2024 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2024 , eprint=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.694328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:dc3e964e0d494dfc4ab9cfb705ae6ac51d80b9d733e8803888e43446b2b3d501

Observation a9e09f65-e06a-430d-9fe1-586e99c0491b · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models The Eleventh International Conference on Learning Representations , year=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.701651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:2986dc8ca37c29f12324613358d9cf62a9a12865de1c7ba1ebe4617a3098ce04

Observation 1496c5b5-d8b9-4703-8fc3-ab0c4ec684be · outbound

This paper cites 2022 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2022 , eprint=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.617775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:aa5eae5446fbff1885c5aa3264934d1e281d31018672161efabd6f4b4c902b83

Observation 244a4023-d66d-4283-bb60-fe27b4e74a9b · outbound

This paper cites Conference on health, inference, and learning , pages=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Conference on health, inference, and learning , pages=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.699181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:2960de18cfd22c6fc80ca10ec09b956eeafcee4e341e07969645f67c0d9481bc

Observation 03a175a1-845e-41e3-b91b-c41368225071 · outbound

This paper cites Applied Sciences , volume=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Applied Sciences , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.696835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:dc2c188297e22b4763ff8b4cc817806eae8e6f9f877e4d8c496d99d2522f68f6

Observation fddfd958-3459-4ef2-af33-6d784a21bddd · outbound

This paper cites Coarse-to-Fine n-Best Parsing and M ax E nt Discriminative Reranking.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Coarse-to-Fine n-Best Parsing and M ax E nt Discriminative Reranking

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:13:57.467134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:ce50ead139293f1ade556372c82a4115006fb5202f069fc104406f7dc61c7d34

Observation 56baecc2-a2cd-4b2f-819f-1b6b10e7e2b3 · outbound

This paper cites Learning to summarize with human feedback , url =.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Learning to summarize with human feedback , url =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:78d2fd793b236ac746777daa6b17936088e5d7d424d3846e6c1b82c36e56e554

Observation dcccee22-4973-4796-ad6e-156b0c3db0d9 · outbound

This paper cites Transactions on Machine Learning Research , issn=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Transactions on Machine Learning Research , issn=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.620224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:b404d1accc30dcc0459253d80d1c6882d1902a109873ece2b92be3fe4246c4d1

Observation a99b3d09-df27-479d-9e8b-1a4b1edf9472 · outbound

This paper cites 2025 , organization=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , organization=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.629162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:930f47ca68004c5f50e6ff8dafe2516ce5c3cbaa16ee81a958d92e39c57426ef

Observation 06d57fa6-adc9-40d4-8536-c0dd0c8e498b · outbound

This paper cites 2021 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2021 , eprint=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.610045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:2b0b88cc5ef2b68fe866d6534dddfb3cd26c17c13ed44d6dbd54be6a2fdf87ad

Observation 242888de-4266-4431-bc6b-5f725a5cf4d8 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Instruction-Following Evaluation for Large Language Models

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:46:05.485211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:aca82b27ac525f6e4272a4f043c6c7a1c1fb191a6f828951a7ae3a75e7dfd2d0

Observation 21681705-7b75-4ede-8ace-f46d87c54540 · outbound

This paper cites 2025 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2025 , eprint=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.607532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:d0222c7661d575770cd63ca86baf6b68ce0987880c7c5fa5159afe6dfd87585c

Observation 55253374-8850-48ca-af6d-ba09b9806006 · outbound

This paper cites EMNLP , year=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models EMNLP , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.704067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:c57f468b4e561c9b6186840faeb0ec2b4487423864f6aa89112a1127a1f83e47

Observation 0ba47b00-052d-4892-b6d1-d7ed013f501d · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models The Fourteenth International Conference on Learning Representations , year=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.612442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:8a90321ea128e3b736201980ce5a5e212613e78e292861eca1e31236a3ea048a

Observation 36a08682-55a4-471b-93a9-1968f68a9e9b · outbound

This paper cites G2: Guided Generation for Enhanced Output Diversity in LLM s.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models G2: Guided Generation for Enhanced Output Diversity in LLM s

Reference 47

Resolution
verified exact
doi, observed 2026-05-09T22:13:57.452510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:48864c5b898104a348bcd87e6877dd95f2663bbe7315e91eae0e01a82dbd87ed

Observation dc28ed6b-4f7d-4cc8-beab-b7b9aea73688 · outbound

This paper cites 2026 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2026 , eprint=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.708989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:1904933c4a918352f61aad7082498c7fe8fd91fc70e0983a7019bb191e319acc

Observation b9f7c911-bfaa-4db3-b872-acc9b24a7977 · outbound

This paper cites L ay A lign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models L ay A lign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment Strategy

Reference 49

Resolution
verified exact
doi, observed 2026-05-09T22:13:57.463113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:352cf5e2d4cd96e2593be928d38c81e16565870fd9c56974846deb54051645d5

Observation f478d665-bcd1-4272-bdb9-40d8510bffe4 · outbound

This paper cites doi: 10.18653/v1/2025.naacl-long.248.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models doi: 10.18653/v1/2025.naacl-long.248

Reference 50

Resolution
metadata mismatch
doi, observed 2026-05-09T22:13:57.456042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:e1d7290e5642980382e418ada4d586ecef6b4010ce71fe9899045670e8487482

Observation 438cff11-365d-4295-9505-f4f7b52a5d82 · outbound

This paper cites an unresolved cited work.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-05-26T01:26:27.706175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:c08887787bcd02be996f1bb8c354063e4d99e71abe1c8b684faa1a2cd64348fb

Observation ae9447b9-8e92-4933-83a5-c1c7b3162776 · outbound

This paper cites 2026 , eprint=.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models 2026 , eprint=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T01:26:27.605515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:7d47f2d69a55883b17ef21643d20a2f768da4887985716de0495e6499a96161b

Observation 3410429b-b85a-4a45-8444-a76e60302a27 · outbound

This paper cites InCoder-32B-Thinking: Industrial Code World Model for Thinking.

GIFT: Guided Fine-Tuning and Transfer for Enhancing Instruction-Tuned Language Models InCoder-32B-Thinking: Industrial Code World Model for Thinking

Reference 53

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T16:46:05.464647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-09T15:12:31.059541Z digest=sha256:e9922f6e2523db151536b69ca470278db101b736a70e4a072a5d4256a3f4aba5

Pith citing papers

No inbound Pith citation observations are available.