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Paper Citation Record · LEDGER

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing

As of 21 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.24801.

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

pith.paper-citation-record.v1
2607.24801 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:35:38.289563Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

47 of 47 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2a50a79-2a3e-4ce7-bd10-ad5841070656 · outbound

This paper cites Phi-4 Technical Report.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Phi-4 Technical Report

Reference 1

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source=pdf_text observed=2026-08-02T08:35:35.925966Z digest=sha256:ec244b27f52103a2fb328f0a9b00aabcd1608b96b976365de2601de32d4942a0

Observation 2e73c3f5-6ee8-4547-989d-80e03a32d60b · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 2

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source=pdf_text observed=2026-08-02T08:35:36.014651Z digest=sha256:1e0a53d09b7252f9eb1381d4d32eadae398e934750317562c12fdb04e49b92b8

Observation 18c30b3f-cf95-41de-a20b-e4caa0f42a5a · outbound

This paper cites Transactions of the association for computational linguistics 5, 135–146 (2017).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Transactions of the association for computational linguistics 5, 135–146 (2017)

Reference 3

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source=pdf_text observed=2026-08-02T08:35:36.111721Z digest=sha256:92202eae7d6f062b5ae7b1e5be1d70e5f5d5a7810ed6b04872eee15de8a6cec6

Observation 26f9dfe7-73e0-4373-bece-78d1a0c34aa9 · outbound

This paper cites In: Compan- ion Proceedings of The 2019 World Wide Web Conference (WWW).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Compan- ion Proceedings of The 2019 World Wide Web Conference (WWW)

Reference 4

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source=pdf_text observed=2026-08-02T08:35:36.163472Z digest=sha256:2bf519d1fee74bda56d0515a11ed271bb5277f8de1df88d9f2fb42b6636a8e02

Observation e6eb3896-24a2-435f-9eb5-90030eeb8812 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2020).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Advances in Neural Information Processing Systems (NeurIPS) (2020)

Reference 5

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source=pdf_text observed=2026-08-02T08:35:36.221515Z digest=sha256:7a0525ae46b58b1a32f1323c939d21aec71848d3fb810d7c863af9def33d9c0c

Observation db8f3ef2-7e24-4b23-9115-e1eb29079fc7 · outbound

This paper cites Transactions on Machine Learning Re- search (2023).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Transactions on Machine Learning Re- search (2023)

Reference 6

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source=pdf_text observed=2026-08-02T08:35:36.287974Z digest=sha256:228be6216c0058b5c722a608fdae94925faca120c5553da4d62fe73476a59456

Observation 6b7a0da2-e501-4d7c-b20f-59622395cda8 · outbound

This paper cites A Unified Approach to Routing and Cascading for LLMs.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing A Unified Approach to Routing and Cascading for LLMs

Reference 7

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source=pdf_text observed=2026-08-02T08:35:36.349471Z digest=sha256:cde9e43fde16f9b48d7222e34c4fa29246ae6306aab6ef34a0343791f539e89c

Observation 86317eae-6018-4c0d-9e5f-cd66b5f2de6c · outbound

This paper cites In: ICML.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICML

Reference 8

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source=pdf_text observed=2026-08-02T08:35:36.451451Z digest=sha256:f5eb8579875363e082d263b8dc5d439fe595ca78ce2b02fd2fe7c4c56cc3a139

Observation 491d16e4-4250-4389-b295-93f14699f6a7 · outbound

This paper cites Are We Really Making Much Progress in Text Classification? A Comparative Review.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Are We Really Making Much Progress in Text Classification? A Comparative Review

Reference 9

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source=pdf_text observed=2026-08-02T08:35:36.508126Z digest=sha256:f1dd6b3dd1bd1f4ed4fbe5f04b1e32a15de215389bdf7cf249685f1895f2a8d9

Observation a30e0104-8b89-46ab-bdd6-79d7c4d8a829 · outbound

This paper cites graph vs.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing graph vs

Reference 10

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source=pdf_text observed=2026-08-02T08:35:36.611515Z digest=sha256:39dd25bda427b7c68adf29ec57be58a43a1b1969f077f90b19e5c92e08d2ea22

Observation d5306990-9b13-42b5-8106-1d894add1430 · outbound

This paper cites Gemma 3 Technical Report.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Gemma 3 Technical Report

Reference 11

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source=pdf_text observed=2026-08-02T08:35:36.716212Z digest=sha256:267466c651437814dd45824c00bc5755a3e9526f874162a52a5f779253d75a83

Observation 73699bcb-9fc4-48dc-9cfc-0e09cc4be6a0 · outbound

This paper cites The Llama 3 Herd of Models.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing The Llama 3 Herd of Models

Reference 12

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source=pdf_text observed=2026-08-02T08:35:36.824248Z digest=sha256:73e54761bff1c72833cf9a5ef64e0b98b828f3f3ffc826dfd4340032a7a6c2c4

Observation 68aa0b59-f03e-4873-be06-a2d3333a7567 · outbound

This paper cites In: ICLR (2017).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICLR (2017)

Reference 13

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source=pdf_text observed=2026-08-02T08:35:36.991948Z digest=sha256:8e39494dc7b9367c9ae019f95b3f7337f921404b05d875408c4c1cd042028164

Observation c1e057fe-a006-47e6-92c2-589c5508c112 · outbound

This paper cites In: Proceedings of the International Conference on Emerging eLearning Technologies and Applications (ICETA).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Proceedings of the International Conference on Emerging eLearning Technologies and Applications (ICETA)

Reference 14

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source=pdf_text observed=2026-08-02T08:35:37.099966Z digest=sha256:faeb53cf6210b316b7cd6050163416509576fc08072272d0d47e57fd9342695f

Observation d2e8219c-0046-4e27-ab10-e9db1962bfc0 · outbound

This paper cites an unresolved cited work.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T08:35:37.159945Z digest=sha256:ac17efe1df64ecb3acea17ef33cfaeb761449033740d979b5009f38f7e75bc84

Observation f93d5871-926b-41ef-ae3a-e8ad0771ea32 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 16

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source=pdf_text observed=2026-08-02T08:35:37.214075Z digest=sha256:6c0f244304bdaf1fc72f5a43ff94176a8a60cbb54b8c8626a6415255edb1228e

Observation fc795747-4245-400d-8a72-d45d77f92607 · outbound

This paper cites Mistral 7B.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Mistral 7B

Reference 17

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source=pdf_text observed=2026-08-02T08:35:37.322057Z digest=sha256:375944054494983df25d9d9d7130c65afd8c0590920501fa0288ae38e8eab522

Observation 35e75ae7-fbaa-413d-8b36-6495728c38df · outbound

This paper cites In: EACL: Short papers.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EACL: Short papers

Reference 18

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Observation 22078beb-7503-4e98-ac1b-8112c145e6d0 · outbound

This paper cites an unresolved cited work.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-02T08:35:37.431463Z digest=sha256:8729cdb59eeee253cfae5877a44fa50bedcd5048ce57abbd0866c838c8a52efb

Observation cbb8ba9a-a3ce-409f-8f40-e4d77adecc0c · outbound

This paper cites In: ICLR (2024).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICLR (2024)

Reference 20

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source=pdf_text observed=2026-08-02T08:35:37.541894Z digest=sha256:3f9760016da67646019616d48155f7e64ec648e6d4badefe11c328ed70445fbb

Observation ee0d52ac-729d-44b4-954f-904ba0c127f3 · outbound

This paper cites In: ICLR (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICLR (2025)

Reference 21

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source=pdf_text observed=2026-08-02T08:35:37.586658Z digest=sha256:1f607778c7a731b6f66d5d0be91f5a83512487c3c2d3dabbf550203a8c603998

Observation 1156e88a-b508-4908-b42c-0541f69f85f2 · outbound

This paper cites In: EMNLP.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EMNLP

Reference 22

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source=pdf_text observed=2026-08-02T08:35:37.602907Z digest=sha256:a6355bc3032318336af7030edc44153dfac85979af721bbcb372066ee225c4d3

Observation 7e7158fb-2c38-40f8-931c-a86f9dc5d9c5 · outbound

This paper cites In: ICLR (2018).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICLR (2018)

Reference 23

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Observation ded87d88-8181-410b-812f-ff27edd79e65 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2020).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Advances in Neural Information Processing Systems (NeurIPS) (2020)

Reference 24

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Observation 1e65f5a4-b6a8-4b21-bea8-02cd9f2964a6 · outbound

This paper cites In: Advances in Neural Information Processing Systems (NeurIPS) (2023).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Advances in Neural Information Processing Systems (NeurIPS) (2023)

Reference 25

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Observation a03770b8-5261-4e71-a18f-78e41bfd88c7 · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Proceed- ings of the AAAI Conference on Artificial Intelligence

Reference 26

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Observation 265fd30c-0a87-419d-8886-f2e390e6bb8c · outbound

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Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-02T08:35:37.984417Z digest=sha256:63dc8e550cd65ee9f52b6807cdac6c5db9bf35171c1911e0d3b4bfc513be298a

Observation e73c6f1d-4a65-4ba7-bc34-7130c5145a2b · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing RouteLLM: Learning to Route LLMs with Preference Data

Reference 28

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Observation d77179f4-6fb6-43a8-9412-63a5d1f34d23 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing gpt-oss-120b & gpt-oss-20b Model Card

Reference 29

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source=pdf_text observed=2026-08-02T08:35:38.040372Z digest=sha256:2efce4a40416f58e775486e48b4d491c337e1b850ae58f1dec9f49c36c440c76

Observation f098434f-7238-43cc-8926-17970b7d714f · outbound

This paper cites In: EMNLP (2024).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EMNLP (2024)

Reference 30

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source=pdf_text observed=2026-08-02T08:35:38.143692Z digest=sha256:dd9de085af8d8f40ef0904e4ab4e70cdc8be34aeddbaa072d4601bc85b036a27

Observation 9689d01b-d81d-438b-b019-561c45ec51e0 · outbound

This paper cites arXiv preprint arXiv:2510.08439 (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing arXiv preprint arXiv:2510.08439 (2025)

Reference 31

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Observation 8625a954-4336-4754-b098-7dd2a00b7927 · outbound

This paper cites In: EMNLP: System Demonstrations (2023).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EMNLP: System Demonstrations (2023)

Reference 32

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source=pdf_text observed=2026-08-02T08:35:38.219731Z digest=sha256:f61151fc1b68a27fbefc1d0aa8f290f461de1831a6a5ea13b2866ada96c26780

Observation a102c88c-0835-41cb-88dc-a4986de5c5e8 · outbound

This paper cites In: EACL (2021).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EACL (2021)

Reference 33

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Observation a8f74c88-282d-4e2e-b8c2-d9d8b4aa10b5 · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 34

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source=pdf_text observed=2026-08-02T08:35:38.230499Z digest=sha256:2ca363e623020a8d3d222fbcfba3177c0ca011df2bb632d86fbb3bbbf83c1c1f

Observation dabe8a80-f49f-4247-a97a-6f94011c4923 · outbound

This paper cites In: EMNLP (2020).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: EMNLP (2020)

Reference 35

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source=pdf_text observed=2026-08-02T08:35:38.233399Z digest=sha256:d9a474ad824a5d2328f6e60136764f19458aed7eb1882c073599a79b5f02a4ed

Observation d93d3986-cf5f-403b-9ac4-08400ea66e10 · outbound

This paper cites In: CoLM (2024).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: CoLM (2024)

Reference 36

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source=pdf_text observed=2026-08-02T08:35:38.236414Z digest=sha256:990b83a8b016acf172dc413cefd65e38a08bfadb7fa06692dbe943ac61c58249

Observation fa7a0678-4bf0-433f-bdf4-1ec6329f750d · outbound

This paper cites In: Proceedings of the 12th Language Resources and Evaluation Con- ference (LREC).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Proceedings of the 12th Language Resources and Evaluation Con- ference (LREC)

Reference 37

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source=pdf_text observed=2026-08-02T08:35:38.239101Z digest=sha256:eafb919ecaa936df94d1dbcf1c6d40a987daf5e51429b67ed1afe6ff9e2a9644

Observation a61f1232-dd14-4f0b-acbf-004cf9e51057 · outbound

This paper cites In: ECAI (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ECAI (2025)

Reference 38

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source=pdf_text observed=2026-08-02T08:35:38.241627Z digest=sha256:ac675ecb2f35c71ae82882566aba2c5723dea705ec18552d24972a9b6409bbd4

Observation 6f6933bd-0dfe-4e2f-abb6-216a5e597a50 · outbound

This paper cites In: Asian Conference on Machine Learning (ACML) (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Asian Conference on Machine Learning (ACML) (2025)

Reference 39

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no resolver link, observed 2026-08-02T08:35:38.254782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f212823-f7e6-4d45-9aa9-f466f03a7d03 · outbound

This paper cites In: ICLR (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: ICLR (2025)

Reference 40

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no resolver link, observed 2026-08-02T08:35:38.260997Z

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Unavailable: canonical work link unavailable.

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Observation fee51ec0-a453-47bf-90a5-1c98dff0d1e4 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technol- ogy (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing ACM Transactions on Intelligent Systems and Technol- ogy (2025)

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-02T08:35:38.273149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a25c2a1-a98a-4171-8010-ab4c7ad1110d · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Efficient Guided Generation for Large Language Models

Reference 42

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no resolver link, observed 2026-08-02T08:35:38.275889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f644874a-1c5a-4659-bd09-66eacf58bbe7 · outbound

This paper cites In: Findings of the Association for Computational Linguistics: NAACL (2025).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Findings of the Association for Computational Linguistics: NAACL (2025)

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T08:35:38.278818Z

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Observation 67f7cadf-672d-41d5-a08c-ff9763be1e88 · outbound

This paper cites Qwen3 Technical Report.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Qwen3 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T08:35:38.281266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7e85ae59-a507-44e7-a83b-c73beb2d6cd4 · outbound

This paper cites In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

Reference 45

Resolution
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no resolver link, observed 2026-08-02T08:35:38.284093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7928a1c2-d31d-4869-bce8-fb7ea7d8f041 · outbound

This paper cites In: Globerson, A., et al.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing In: Globerson, A., et al

Reference 46

Resolution
verified exact
doi, observed 2026-08-02T08:38:30.699542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-02T08:35:38.286812Z digest=sha256:8199b2dedd39cbdc5a18aa89a0287d262ff04e971c935b7b743298f43e830b5d

Observation 0f186101-3b17-45de-ab9c-bf9f4c6fb62e · outbound

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

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing Instruction-Following Evaluation for Large Language Models

Reference 47

Resolution
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no resolver link, observed 2026-08-02T08:35:38.289563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.