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Paper Citation Record · LEDGER

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.06200.

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

pith.paper-citation-record.v1
2608.06200 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:49:01.227756Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy11
  • unresolved25
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02aa3348-71fa-495a-9e86-29af519efd7b · outbound

This paper cites superficial.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics superficial

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2291325b-0617-450a-96ba-1b7c8c388988 · outbound

This paper cites Be- cause the survey questions rely heavily on visual context (e.g., Python code snippets and system diagrams), GPT-5.4-mini was selected for its advanced multimodal capabilities.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Be- cause the survey questions rely heavily on visual context (e.g., Python code snippets and system diagrams), GPT-5.4-mini was selected for its advanced multimodal capabilities

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2c1c5e3-a7e0-4541-a878-03b126efbf86 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 3

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c166c177-2f85-4e51-b2ec-22dc7da55180 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:09.341072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation dd0427f8-1719-4d0c-bcf4-9cf547b3e7b3 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 5

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 26b43c21-255c-4e39-b712-e18102ec5e7e · outbound

This paper cites Weintrop, E.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Weintrop, E

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 196d5666-adb9-4876-a889-1d36b3ffc17c · outbound

This paper cites Singh and D.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Singh and D

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae3454cd-31f8-474f-82cf-5693aea3a7f3 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:57.483151Z digest=sha256:b85e604930c2ba11887558ebb65b4127c0365f45b51b2c702360d07a680f28a3

Observation 22e1238f-d195-48f4-b7b6-900182a54019 · outbound

This paper cites Hestenes, M.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Hestenes, M

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:57.030662Z digest=sha256:d0203c3f89c3106ba6cfb314ab32d90ffb71756039eed9373725a5e1fb9f173a

Observation b8d698b2-fb48-4f60-a971-c0e34efc616a · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation eba061a3-4965-49a4-9039-fdd1e3639ef8 · outbound

This paper cites Nieswandt and K.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Nieswandt and K

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 056bacb4-5cf5-467a-843c-17712841e7d9 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 323ab1cc-ef17-4f28-bb03-c1dd08c495c8 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75127ccf-1951-4dd4-bced-eb94b3e9a9d8 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:48:57.747807Z digest=sha256:1f95a44683b64d91423b7e0bbca0cf88e5f68efe82059d1579965cb8aae320d7

Observation 23322313-c47d-4206-9a04-67f34816746a · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:07.269036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:48:58.431778Z digest=sha256:ac7a86db665d540964820452d5b51e2c1c2c6f7edb97d7d6ee5821f5c7120846

Observation 46566ceb-58f4-4037-a7bc-d0b32fd3a8e5 · outbound

This paper cites Leveraging AI for Rapid Generation of Physics Simulations in Education: Building Your Own Virtual Lab.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Leveraging AI for Rapid Generation of Physics Simulations in Education: Building Your Own Virtual Lab

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:49:02.065643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:48:58.567797Z digest=sha256:bfde71490cc1c03397ddc0927897e3d5325c0949ba62c3175dcfd76e9b617382

Observation 06081328-2197-4c50-ae99-79e965aae594 · outbound

This paper cites Kortemeyer, Toward ai grading of student problem solutions in introductory physics: A feasibility study, Physical Review Physics Education Research19, 020163 (2023).

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Kortemeyer, Toward ai grading of student problem solutions in introductory physics: A feasibility study, Physical Review Physics Education Research19, 020163 (2023)

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:49:07.588251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:48:58.252391Z digest=sha256:45499b95639ec72f4034266e8f0441c8f34ad41000da9b757994e1a5b5da44d3

Observation c10ab880-9da1-4ffb-a9ed-270a3dc50bcf · outbound

This paper cites Casalino, B.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Casalino, B

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:58.342968Z digest=sha256:5ff503e54e702f9a667737953ff59ee2933b0f0eab35eb07baae70a6b823a560

Observation e3420e81-efb8-4bcb-b451-7136255ddbf0 · outbound

This paper cites Kortemeyer and J.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Kortemeyer and J

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ecc2db2e-ee12-48a0-b473-0e53c00aa7eb · outbound

This paper cites Savage and N.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Savage and N

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6a40d969-d02a-401c-9497-df1c96195636 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 33bdbc7d-3fb1-4989-b9fe-b1d26922bc03 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d5d41e7f-e513-4409-ad3e-9a8f96c430be · outbound

This paper cites Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Towards Just-in-Time Adaptive Feedback: Enhancing Student Learning via Knowledge-Grounded LLM

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d62b547d-4dd1-423c-ae09-8b53fb59a581 · outbound

This paper cites Allen, A.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Allen, A

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1833346e-4d17-42e6-a8a1-b08ebcf88b89 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 61afb630-eb37-4dc9-8588-205facc0de74 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 03d7fbe2-4f0e-4872-8848-3a0db77dcbb4 · outbound

This paper cites Zhou, S.-M.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Zhou, S.-M

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2c9649d-414a-43c5-9dc4-3a8772b61edf · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 07117494-dfa5-4520-a14f-8e67d2dfa9f6 · outbound

This paper cites Wan and Z.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Wan and Z

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4aa27a2d-7e00-442c-9251-11e735f1d2cc · outbound

This paper cites Fine-tuning ChatGPT for Automatic Scoring.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Fine-tuning ChatGPT for Automatic Scoring

Reference 31

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 70b3a75a-4a82-4920-961d-9423d7ef6637 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unleashing the potential of prompt engineering for large language models

Reference 32

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:48:59.677280Z digest=sha256:dc6dfeedb55b7842d972ad7eab301d7291314acc8894635029f5f279c896af2e

Observation 786c2088-5d19-4439-8349-6b9ff8377737 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d72581f3-d071-4abd-a942-27a43ca065b6 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation da27d964-9594-4946-bf4b-2679526fdde1 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 35

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8fbd3cf9-126e-44c1-a901-54e575777a6c · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:04.131212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 399059d3-683b-47ad-b10e-6d2833b0be0c · outbound

This paper cites Fleiss, Measuring nominal scale agreement among many raters, Psychological bulletin76, 378—382 (1971).

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Fleiss, Measuring nominal scale agreement among many raters, Psychological bulletin76, 378—382 (1971)

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:00.460792Z digest=sha256:d1a2d7d11dd10c2f03992d8659c6c839006bdb52e6ea9bb0e6c7e39852a680b4

Observation 482531fb-d02a-414b-8c96-d6099d0dd0b3 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:03.571604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:00.584726Z digest=sha256:ba5a6068e6595dae48c864d23f20d8eef92c976b540f98592280a404cc21b6e8

Observation 96da9d56-f2bd-4450-bb99-0cc9981b3d59 · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:03.276524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:00.736507Z digest=sha256:706374e61b908e999304251f7f3a8cf5082e4dab521976ed97f9a5f37a9ea86c

Observation 29917152-4fa7-4109-ac9a-bff0fab4e015 · outbound

This paper cites The Initial State of Students Taking an Introductory Physics MOOC.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics The Initial State of Students Taking an Introductory Physics MOOC

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:49:01.488286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:00.921105Z digest=sha256:62b0fe8d24db6a80e5e4c8858e811d9d166e10c7d55f64b74dc3ccfa99f318cf

Observation d4634d0b-9a92-4dec-98f1-3c97344dd1df · outbound

This paper cites an unresolved cited work.

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:49:02.987127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:01.066389Z digest=sha256:fbcd403d7368ff882be70bab2103b340a95f002d3b50fb73b5644a178d098440

Observation 0907b686-836e-4211-ba63-71f5d833ee59 · outbound

This paper cites Hammer, Student resources for learning introductory physics, American Journal of Physics68, S52 (2000).

Using LLMs to Detect Growth in Computational Thinking in Introductory Physics Hammer, Student resources for learning introductory physics, American Journal of Physics68, S52 (2000)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:49:02.644755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:49:01.227756Z digest=sha256:a07c4a58cd9fce73bf66413cd4b567831ec408ae9b73a1b3d9077e27d87490ce

Pith citing papers

No inbound Pith citation observations are available.